Multi-camera tracking algorithm study based on information fusion
Guoqiang Wang, Shangfu Li, Xue Wen
Available Online November 2016.
- https://doi.org/10.2991/aest-16.2016.6How to use a DOI?
- characteristics fusion; target tracking; pedestrian matching.
- Intelligent video surveillance technology is a part of pattern recognition used for analyzing, extracting and recognizing behavior characteristics of a moving target basing on computer algorithms. The target tracking algorithm combines particle filter and Mean-shift in overlapping multi-camera environment on the intelligent video surveillance system. Multi-camera tracking is studied using a fusion of SURF characteristics, color characteristics and geometric characteristic in Matlab. Experimental results show that the method of tracking between multiple cameras has good accuracy and stability.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Guoqiang Wang AU - Shangfu Li AU - Xue Wen PY - 2016/11 DA - 2016/11 TI - Multi-camera tracking algorithm study based on information fusion BT - 2016 International Conference on Advanced Electronic Science and Technology (AEST 2016) PB - Atlantis Press SP - 50 EP - 56 SN - 1951-6851 UR - https://doi.org/10.2991/aest-16.2016.6 DO - https://doi.org/10.2991/aest-16.2016.6 ID - Wang2016/11 ER -