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Channel feature detectors are the most popular approaches for pedestrian detection recently. However, most of these approaches train the boosted decision trees by selecting a single feature at each node, which does not effectively exploit the multi-feature cues and spatial information. To address this issue, this paper proposes to construct the co-occurrence of multiple channel features in local image...
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