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Visual Object Tracking in the Deep Neural Networks Era [Working Title]
Mostly computer vision problems related to crowd analytics are highly dependent upon multi-object tracking (MOT) systems. There are two major steps involved in the design of MOT system: object detection and association. In the first step, desired objects are detected in every frame of video stream. Detection quality directly influences the performance of tracking. The second step involves the correspondence of detected objects in current frame with the previous to obtain their trajectories.doi:10.5772/intechopen.85215 fatcat:oc3kfowngfei5gmeh33uu4dwhy