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These examples track targets in an area using recorded videos from a
Read camera image sequences and import ground truth and detections in MOT
Implement the Simple Online and Realtime (SORT) object tracking
Integrate appearance features from a re-Identification (Re-ID) Deep Neural Network with a multi-object tracker to improve the performance of camera-based object tracking. The implementation closely follows the Deep Simple Online and Realtime (DeepSORT) multi-object tracking algorithm . This example uses the Sensor Fusion and Tracking Toolbox™ and the Computer Vision Toolbox™.
Resolve challenging tracking scenarios when objects are occluded and in close
Track people throughout a video sequence using re-identification with a residual network.
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