title: Incremental structured dictionary learning for video sensor-based object tracking.
abstract: To tackle robust object tracking for video sensor-based applications, an online discriminative algorithm based on incremental discriminative structured dictionary learning (IDSDL-VT) is presented. In our framework, a discriminative dictionary combining both positive, negative and trivial patches is designed to sparsely represent the overlapped target patches. Then, a local update (LU) strategy is proposed for sparse coefficient learning. To formulate the training and classification process, a multiple linear classifier group based on a K-combined voting (KCV) function is proposed. As the dictionary evolves, the models are also trained to timely adapt the target appearance variation. Qualitative and quantitative evaluations on challenging image sequences compared with state-of-the-art algorithms demonstrate that the proposed tracking algorithm achieves a more favorable performance. We also illustrate its relay application in visual sensor networks.
authors.affiliation: Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. xue@sjtu.edu.cn.
authors.forename: Ming
authors.initials: M
authors.lastname: Xue
authors.affiliation: Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. hyang@sjtu.edu.cn.
authors.forename: Hua
authors.initials: H
authors.lastname: Yang
authors.affiliation: Institute of Image Communication and Network Engineering, Shanghai Jiao Tong University, Shanghai 200240, China. sbzh@sjtu.edu.cn.
authors.forename: Shibao
authors.initials: S
authors.lastname: Zheng
authors.affiliation: Department of Electronics Engineering, Dalian Maritime University, Dalian 116026, China. zhouyi21st@gmail.com.
authors.forename: Yi
authors.initials: Y
authors.lastname: Zhou
authors.affiliation: Bocom Smart Network Technologies Inc., Shanghai 200233, China. zhenghua.jack.yu@gmail.com.
authors.forename: Zhenghua
authors.initials: Z
authors.lastname: Yu