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Learning Online Policies for Person Tracking in Multi-View Environments
The MVSparse system is comprised of a carefully orchestrated pipeline, combining edge server-based models with distributed lightweight Reinforcement Learning (RL) agents operating on individual cameras.
AttTrack: Online Deep Attention Transfer for Multi-object Tracking
Multi-object tracking (MOT) is a vital component of intelligent video analytics applications such as surveillance and autonomous driving.
DeepScale: Online Frame Size Adaptation for Multi-object Tracking on Smart Cameras and Edge Servers
In the training stage, we incorporate detectability scores into a one-shot tracker architecture so that DeepScale can learn representation estimations for different frame sizes in a self-supervised manner.
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