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Sensors 2014, 14(2), 3130-3155; doi:10.3390/s140203130
Article

Incremental Structured Dictionary Learning for Video Sensor-Based Object Tracking

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Received: 19 December 2013; in revised form: 9 January 2014 / Accepted: 12 February 2014 / Published: 17 February 2014
(This article belongs to the Section Physical Sensors)
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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.
Keywords: appearance model; object tracking; sparse representation; structured dictionary learning; Bayesian inference; visual sensor networks appearance model; object tracking; sparse representation; structured dictionary learning; Bayesian inference; visual sensor networks
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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MDPI and ACS Style

Xue, M.; Yang, H.; Zheng, S.; Zhou, Y.; Yu, Z. Incremental Structured Dictionary Learning for Video Sensor-Based Object Tracking. Sensors 2014, 14, 3130-3155.

AMA Style

Xue M, Yang H, Zheng S, Zhou Y, Yu Z. Incremental Structured Dictionary Learning for Video Sensor-Based Object Tracking. Sensors. 2014; 14(2):3130-3155.

Chicago/Turabian Style

Xue, Ming; Yang, Hua; Zheng, Shibao; Zhou, Yi; Yu, Zhenghua. 2014. "Incremental Structured Dictionary Learning for Video Sensor-Based Object Tracking." Sensors 14, no. 2: 3130-3155.


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