Chess Dynamics details advanced video tracking capabilities
The video tracker shown discerning between a small UAS and a heavily cluttered background. (Photo: Chess Dynamics)
Chess Dynamics’ neural network video tracking capabilities can learn over time to get more accurate.
Chess Dynamics has developed real-time video tracking capabilities using a deep neural network approach that can track targets against fore- and background clutter.
The Deep Embedded Feature Tracking system can follow targets over a long period at variable scales without having to re-acquire.
The solution can also keep up with changes in the shape of a target, allowing the video tracker to maintain the acquisition of a person or system from different angles as they move through 3D space.
A vital aspect of the solution is also its ability to quickly and automatically re-acquire targets that are temporarily obscured, such as if
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