DocumentCode
248538
Title
A novel solution for multi-camera object tracking
Author
Weihua Chen ; Lijun Cao ; Xiaotang Chen ; Kaiqi Huang
Author_Institution
Center for Res. on Intell. Perception & Comput., Inst. of Autom., Beijing, China
fYear
2014
fDate
27-30 Oct. 2014
Firstpage
2329
Lastpage
2333
Abstract
The traditional multi-camera object tracking contains two steps: single camera object tracking (SCT) and inter-camera object tracking (ICT). The ICT performance strongly relies on the great results of SCT. In practice, most of current SCT methods are unperfect and products much more fragments. In this paper, a novel solution using a global tracklet association is proposed, which can provide a good ICT performance when the SCT results are not perfect. The proposed solution is also available in non-overlapping views through a new tracklet representation and experiments shows the effectiveness of the proposed novel solution in real scene.
Keywords
cameras; image fusion; object tracking; ICT; SCT methods; global tracklet association; intercamera object tracking; multicamera object tracking; single camera object tracking; tracklet representation; Cameras; Legged locomotion; Object tracking; Target tracking; Trajectory; Uncertainty; Multi-camera object tracking; PMCSHR; global tracklet association;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2014 IEEE International Conference on
Conference_Location
Paris
Type
conf
DOI
10.1109/ICIP.2014.7025472
Filename
7025472
Link To Document