Differential Features for Pedestrian Detection: A Taylor Series Perspective

IEEE Transactions on Intelligent Transportation Systems, pp. 1-10, 2018.

Cited by: 7|Bibtex|Views29|DOI:https://doi.org/10.1109/tits.2018.2869087
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Other Links: academic.microsoft.com|dblp.uni-trier.de

Abstract:

Differential features are popularly used in computer vision tasks, such as object detection. In this paper, we revisit these features from a functional approximation perspective. In particular, we view an image as a 2-D functional and investigate its Taylor series approximation. Differential features are derived from the approximation coe...More

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