Robust object tracking algorithm based on sparse eigenbasis
To reduce the computation and to improve the performance of object detection and tracking algorithm with object appearance variation, a tracker based on sparse eigenbasis is proposed. According to the compressive sensing theory, the objects are described in a low‐dimensional sub‐space representation...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Wiley
2014-12-01
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| Series: | IET Computer Vision |
| Subjects: | |
| Online Access: | https://doi.org/10.1049/iet-cvi.2013.0175 |