Interaction Between Object Detection and Multi-Target Tracking
Zhiming Wang, Hong Bao
Available Online March 2013.
- https://doi.org/10.2991/iccsee.2013.340How to use a DOI?
- Object detection, Target tracking, Background model, Meanshift, Neural network
- Object detection and target tracking are two basic tasks in video analysis and understanding. Though both of them were studied widely and deeply, interaction between them worth more efforts. We give an interaction framework between PNN based object detection and meanshift target tracking. Detection results were used to accelerate tracking speed by decrease search steps, and tracking results were used to guide the updating of background model for motion detection. Performances of both multi-object tracking and motion detection were improved.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Zhiming Wang AU - Hong Bao PY - 2013/03 DA - 2013/03 TI - Interaction Between Object Detection and Multi-Target Tracking BT - Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering (ICCSEE 2013) PB - Atlantis Press SP - 1356 EP - 1360 SN - 1951-6851 UR - https://doi.org/10.2991/iccsee.2013.340 DO - https://doi.org/10.2991/iccsee.2013.340 ID - Wang2013/03 ER -