Adaptive fusion of particle filtering and spatio-temporal motion energy for human tracking

作者：Zhou, Huiyu^*; Fei, Minrui; Sadka, Abdul; Zhang, Yi; Li, Xuelong

来源：Pattern Recognition, 2014, 47(11): 3552-3567.

DOI：10.1016/j.patcog.2014.05.006

• Computer vision
• Object tracking
• Occlusion
• Colour
• Motion energy

Object tracking is an active research area nowadays due to its importance in human computer interface, teleconferencing and video surveillance. However, reliable tracking of objects in the presence of occlusions, pose and illumination changes is still a challenging topic. In this paper, we introduce a novel tracking approach that fuses two cues namely colour and spatio-temporal motion energy within a particle filter based framework. We conduct a measure of coherent motion over two image frames, which reveals the spatio-temporal dynamics of the target. At the same time, the importance of both colour and motion energy cues is determined in the stage of reliability evaluation. This determination helps maintain the performance of the tracking system against abrupt appearance changes. Experimental results demonstrate that the proposed method outperforms the other state of the art techniques in the used test datasets.

• 出版日期2014-11
• 单位瞬态光学与光子技术国家重点实验室; 中国科学院西安光学精密机械研究所; 重庆邮电大学; 上海大学