Local sparse appearance model with specific structural information in infrared pedestrian tracking

Abstract

Robust pedestrian tracking in infrared image sequence becomes a crucial requirement for numerous computer vision applications. Conventional sparse appearance models have been widely used for tracking in infrared image sequence because it can reduce the noise efficiently and find the inner information in the fewer model data, but most of them aim at tracking… (More)

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@article{Liang2016LocalSA, title={Local sparse appearance model with specific structural information in infrared pedestrian tracking}, author={Chao Liang and Qiong Liu and Ruilin Xu}, journal={2016 International Conference on Image, Vision and Computing (ICIVC)}, year={2016}, pages={19-25} }