Partially occluded pedestrian classification using histogram of oriented gradients and local weighted linear kernel support vector machine
One of the main challenges in pedestrian classification is partial occlusion. This study presents a new method for pedestrian classification with partial occlusion handling. The proposed method involves a set of part‐based classifiers trained on histogram of oriented gradients features derived from...
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| Format: | Article |
| Language: | English |
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Wiley
2014-12-01
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| Series: | IET Computer Vision |
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| Online Access: | https://doi.org/10.1049/iet-cvi.2013.0257 |