Animations

The computer animations and forensic engineering specialists of DJS Associates utilize state-of-the-art technology to create precise, court-accepted animations, simulations and demonstrative exhibits, utilizing the most precise forensic animations, and 3D mapping and remote sensing technologies.

Surveillance videos often distort what they capture, making the recorded events difficult to analyze with an untrained eye. Such distortions will make otherwise geometric straight lines and edges look unnaturally bowed or curved. These distortions are often created by the type of lens on the surveillance camera since light passing through can be squeezed from a wide field of view into the narrower restrictions of the video format and resolution supported by the recording equipment. Luckily, software is available to undistort, or correct, such deformations into an image that is rectilinear; lines are returned, to the best of its ability, to their correct, geometrically straight nature. This process is also an important stage for performing photogrammetry and videogrammetry analysis where measurements are extracted from image and video data.

Included for example, is a video of a multi-lane roadway where delineating individual lanes is hindered by strong distortion of a wide-angle lens. Using filters in video analysis software, the video is undistorted, and the lanes straightened into a rectilinear image. Colored lines are superimposed over the painted skip lines for each lane, providing visual assistance to observe the vehicles traveling along the roadway including those involved in a collision.

Laurence R. Penn, CFVT, Senior Forensic Animation/Video Specialist with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-2010.

DJS Associates, Inc: https://www.ForensicDJS.com

Surveillance videos often distort what they capture, making the recorded events difficult to analyze with an untrained eye. Such distortions will make otherwise geometric straight lines and edges look unnaturally bowed or curved. These distortions are often created by the type of lens on the surveillance camera since light passing through can be squeezed from a wide field of view into the narrower restrictions of the video format and resolution supported by the recording equipment. Luckily, software is available to undistort, or correct, such deformations into an image that is rectilinear; lines are returned, to the best of its ability, to their correct, geometrically straight nature. This process is also an important stage for performing photogrammetry and videogrammetry analysis where measurements are extracted from image and video data.

Included for example, is a video of a multi-lane roadway where delineating individual lanes is hindered by strong distortion of a wide-angle lens. Using filters in video analysis software, the video is undistorted, and the lanes straightened into a rectilinear image. Colored lines are superimposed over the painted skip lines for each lane, providing visual assistance to observe the vehicles traveling along the roadway including those involved in a collision.

Laurence R. Penn, CFVT, Senior Forensic Animation/Video Specialist with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-2010.

DJS Associates, Inc: https://www.ForensicDJS.com

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YouTube Video VVVPTHNCTDFDTDFUV3JUS2JOS3JYYndnLmRqaDVTei1kRVNJ

Life in the Fast, Rectilinear Lane

When a surveillance camera captured an incident involving a school bus and motorcycle, the forensic science of videogrammetry and three-dimensional accident reconstruction helped determine the speeds of the vehicles and sight lines of the operators leading up to the collision. 

Multiple high-density LIDAR scans of the site were captured by DJS Associates field crew to provide millions of accurately measured points from which the frame-by-frame photogrammetry was performed. By correlating many features on the two-dimensional surveillance image to their to-scale positions in the LIDAR scan data, the position and orientation of the camera was recreated in three-dimensional space with a virtual camera. 

Scans of the bus were also captured and provided measurement data for tracking and plotting its position in the 3D reconstruction. The motorcycle position was then plotted in the scene for every frame of the camera-matched surveillance video. Additional vehicles moving through the intersection at the time of the incident were also plotted within the videogrammetry analysis. 

Virtual cameras were placed in the 3D analysis at the approximate height of the vehicle operator views in order to observe possible obstructions or behavior leading up to the impact. The roadway approaching the intersection follows a hill and as a result, the time and distance the motorcycle was positioned at the crest relevant to the sight line of the bus operator was calculated. High quality animated renderings were produced from the accident reconstruction analysis to convey forensic engineer opinions.

Laurence R. Penn, CFVT, Senior Forensic Animation / Video Specialist with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-3020. 

DJS Associates, Inc. - https://forensicDJS.com

When a surveillance camera captured an incident involving a school bus and motorcycle, the forensic science of videogrammetry and three-dimensional accident reconstruction helped determine the speeds of the vehicles and sight lines of the operators leading up to the collision.

Multiple high-density LIDAR scans of the site were captured by DJS Associates field crew to provide millions of accurately measured points from which the frame-by-frame photogrammetry was performed. By correlating many features on the two-dimensional surveillance image to their to-scale positions in the LIDAR scan data, the position and orientation of the camera was recreated in three-dimensional space with a virtual camera.

Scans of the bus were also captured and provided measurement data for tracking and plotting its position in the 3D reconstruction. The motorcycle position was then plotted in the scene for every frame of the camera-matched surveillance video. Additional vehicles moving through the intersection at the time of the incident were also plotted within the videogrammetry analysis.

Virtual cameras were placed in the 3D analysis at the approximate height of the vehicle operator views in order to observe possible obstructions or behavior leading up to the impact. The roadway approaching the intersection follows a hill and as a result, the time and distance the motorcycle was positioned at the crest relevant to the sight line of the bus operator was calculated. High quality animated renderings were produced from the accident reconstruction analysis to convey forensic engineer opinions.

Laurence R. Penn, CFVT, Senior Forensic Animation / Video Specialist with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-3020.

DJS Associates, Inc. – https://forensicDJS.com

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YouTube Video VVVPTHNCTDFDTDFUV3JUS2JOS3JYYndnLlFVYm1YMklpY0xV

Bus v. Motorcycle: Collision Synchronized Video Demonstrative

When a fatal collision occurred between a motorcycle and SUV at a city intersection, we were asked whether obstructed sight lines may have contributed to the incident.

Two surveillance videos which captured the events leading up to the collision were obtained and provided the foundation for the photogrammetry analysis within the accident reconstruction. From the video, it can be observed that there were several vehicles parked at/near the intersection. A box-truck parked near a crosswalk, the vehicle of interest for this case, was scrutinized as a possible obstruction to the approaching motorcycle and SUV operators.

The two videos were synchronized, and the camera locations were established by correlating multiple points on the 2D image plane to their 3D positions in space measured by high density LIDAR scans of the site.

The trajectories of the motorcycle and SUV were also solved by matching points on the 2D image frames to 3D scale models of the vehicles. The stationary vehicles parked along the roadway including the box truck were also analyzed and accurately placed within the scene. With 3D cameras placed at both operators’ positions, simulating their approaching views of the intersections, it was concluded that the presence of the box truck did not further impede the line of sight which already existed from the surrounding vehicles at the intersection.

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Laurence Penn, CFVT and Hugh Borbidge, BSME, Animation Consultants with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-2010.

When a fatal collision occurred between a motorcycle and SUV at a city intersection, we were asked whether obstructed sight lines may have contributed to the incident.

Two surveillance videos which captured the events leading up to the collision were obtained and provided the foundation for the photogrammetry analysis within the accident reconstruction. From the video, it can be observed that there were several vehicles parked at/near the intersection. A box-truck parked near a crosswalk, the vehicle of interest for this case, was scrutinized as a possible obstruction to the approaching motorcycle and SUV operators.

The two videos were synchronized, and the camera locations were established by correlating multiple points on the 2D image plane to their 3D positions in space measured by high density LIDAR scans of the site.

The trajectories of the motorcycle and SUV were also solved by matching points on the 2D image frames to 3D scale models of the vehicles. The stationary vehicles parked along the roadway including the box truck were also analyzed and accurately placed within the scene. With 3D cameras placed at both operators’ positions, simulating their approaching views of the intersections, it was concluded that the presence of the box truck did not further impede the line of sight which already existed from the surrounding vehicles at the intersection.



Laurence Penn, CFVT and Hugh Borbidge, BSME, Animation Consultants with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-2010.

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YouTube Video VVVPTHNCTDFDTDFUV3JUS2JOS3JYYndnLlM3OG83c3pJWVRF

Never Mind the Blind Spots; Here’s the Sightline Prognosis

When video surveillance recorded an individual's fall in a building lobby, DJS Associates was tasked with analyzing the video to shed light on the circumstances surrounding the fall. 

Unfortunately, the building had been renovated since the incident, but this didn't prevent accurate photogrammetry camera-match analysis to be performed using LIDAR data acquired of the site by the DJS Associates reality capture field crew. 

Implementing common features still present in the environment prior to and after the renovation, the position, orientation, and field of view of the camera were established. Several scene photos were also camera-matched successfully with the LIDAR data. Of particular interest to the case, an edge of a rug in close proximity to the plaintiff’s fall was obscured in the surveillance camera. Utilizing multiple angles of the camera-matched scene photos, the obstructed area of the rugs could be established and reconstructed in 3D space. An articulated 3D model mannequin, scaled to the height of the plaintiff, was superimposed and animated over the surveillance footage to match his position and posture in space and time. 

Under the guidance of a biomechanical expert, the 3D mannequin animation was refined relative to the video evidence. With an unobstructed view of the reconstructed scene, the analysis revealed the plaintiff's footing relative to the positioning of the rug's edge in much more detail than was originally possible from the surveillance video alone.

Laurence R. Penn, CFVT, Senior Forensic Animation / Video Specialist with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-2010.

DJS Associates, Inc - https://www.forensicDJS.com

When video surveillance recorded an individual's fall in a building lobby, DJS Associates was tasked with analyzing the video to shed light on the circumstances surrounding the fall.

Unfortunately, the building had been renovated since the incident, but this didn't prevent accurate photogrammetry camera-match analysis to be performed using LIDAR data acquired of the site by the DJS Associates reality capture field crew.

Implementing common features still present in the environment prior to and after the renovation, the position, orientation, and field of view of the camera were established. Several scene photos were also camera-matched successfully with the LIDAR data. Of particular interest to the case, an edge of a rug in close proximity to the plaintiff’s fall was obscured in the surveillance camera. Utilizing multiple angles of the camera-matched scene photos, the obstructed area of the rugs could be established and reconstructed in 3D space. An articulated 3D model mannequin, scaled to the height of the plaintiff, was superimposed and animated over the surveillance footage to match his position and posture in space and time.

Under the guidance of a biomechanical expert, the 3D mannequin animation was refined relative to the video evidence. With an unobstructed view of the reconstructed scene, the analysis revealed the plaintiff's footing relative to the positioning of the rug's edge in much more detail than was originally possible from the surveillance video alone.

Laurence R. Penn, CFVT, Senior Forensic Animation / Video Specialist with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-2010.

DJS Associates, Inc – https://www.forensicDJS.com

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YouTube Video VVVPTHNCTDFDTDFUV3JUS2JOS3JYYndnLkw2bEx4MHp2dWZZ

Not So Magic Carpet Fall: The Rug in the Lobby – A Surveillance Video Analysis Case Study

DJS was tasked with analyzing surveillance video which captured an unfortunate accident during an indoor recreational volleyball game where a player lost their balance and ran head-first into a padded wall, resulting in a debilitating spinal injury. 

A complex task in the best of circumstances, working with video that isn’t from the native surveillance system requires extra levels of scrutiny to make subsequent steps in the analysis process as accurate and resolute as possible. 

The video provided in this case was a smartphone recording of a monitor displaying the surveillance video of the accident. A reverse-engineering process is required to stabilize any handshake, remove perspective, and reconstruct the dimensions of the original video frame. Once returned to an acceptable composition that falls within the established norms of digital video standards, the camera view can be calculated in three dimensions relative to high-density LIDAR scan data of the facility. 

The plaintiff was then tracked in the 3D environment using a to-scale rigged mannequin to accurately reconstruct the steps and posture recorded in the video. The reconstructed scene can then be viewed by multiple angles to help biomechanical experts and other viewers better understand the circumstances of the event and can even reveal movement previously obstructed by foreground objects.

Laurence R. Penn, CFVT, Senior Forensic Animation/Video Specialist with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-2010.

DJS was tasked with analyzing surveillance video which captured an unfortunate accident during an indoor recreational volleyball game where a player lost their balance and ran head-first into a padded wall, resulting in a debilitating spinal injury.

A complex task in the best of circumstances, working with video that isn’t from the native surveillance system requires extra levels of scrutiny to make subsequent steps in the analysis process as accurate and resolute as possible.

The video provided in this case was a smartphone recording of a monitor displaying the surveillance video of the accident. A reverse-engineering process is required to stabilize any handshake, remove perspective, and reconstruct the dimensions of the original video frame. Once returned to an acceptable composition that falls within the established norms of digital video standards, the camera view can be calculated in three dimensions relative to high-density LIDAR scan data of the facility.

The plaintiff was then tracked in the 3D environment using a to-scale rigged mannequin to accurately reconstruct the steps and posture recorded in the video. The reconstructed scene can then be viewed by multiple angles to help biomechanical experts and other viewers better understand the circumstances of the event and can even reveal movement previously obstructed by foreground objects.

Laurence R. Penn, CFVT, Senior Forensic Animation/Video Specialist with DJS Associates, Inc., can be reached via email at experts@forensicDJS.com or via phone at 215-659-2010.

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YouTube Video VVVPTHNCTDFDTDFUV3JUS2JOS3JYYndnLmUxWjJHNU1UX1Jr

Sports Accidents; A Videogrammetry Case Study

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