Novel seed selection for multiple objects detection and tracking
Zailiang Pan, Chong‐Wah Ngo · 2004
This paper proposes a unified approach for initializing, detecting and tracking of multiple moving objects. Object initialization is achieved through novel seed selection which is adaptively activated, depending on the quality of track-ing, to select the best possible frames along the temporal direction for object detection. EM algorithm is then em-ployed to robustly segment and detect multiple objects in a selected frame. Each detected object is represented by an appearance-basedmodel and mean shift tracking procedure is adopted to rapidly and effectively track the target objects. 1.