TY - GEN
T1 - Novel seed selection for multiple objects detection and tracking
AU - Pan, Zailiang
AU - Ngo, Chong-Wah
PY - 2004
Y1 - 2004
N2 - 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 tracking, to select the best possible frames along the temporal direction for object detection. EM algorithm is then employed to robustly segment and detect multiple objects in a selected frame. Each detected object is represented by an appearance-based model and mean shift tracking procedure is adopted to rapidly and effectively track the target objects.
AB - 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 tracking, to select the best possible frames along the temporal direction for object detection. EM algorithm is then employed to robustly segment and detect multiple objects in a selected frame. Each detected object is represented by an appearance-based model and mean shift tracking procedure is adopted to rapidly and effectively track the target objects.
UR - http://www.scopus.com/inward/record.url?scp=10044257451&partnerID=8YFLogxK
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-10044257451&origin=recordpage
U2 - 10.1109/ICPR.2004.1334366
DO - 10.1109/ICPR.2004.1334366
M3 - RGC 32 - Refereed conference paper (with host publication)
SN - 769521282
VL - 2
SP - 744
EP - 747
BT - Proceedings - International Conference on Pattern Recognition
T2 - Proceedings of the 17th International Conference on Pattern Recognition, ICPR 2004
Y2 - 23 August 2004 through 26 August 2004
ER -