Zhou et al., 2021 - Google Patents

Research on pedestrian detection technology based on the SVM classifier trained by HOG and LTP features

Zhou et al., 2021

Document ID
4070284383730385037
Author
Zhou H
Yu G
Publication year
Publication venue
Future Generation Computer Systems

External Links

Snippet

In pedestrian detection, it is often affected by factors such as changes in the position of moving targets, changes in illumination, and complex background interference. Therefore, the traditional pedestrian feature detection method is affected by the complex environment …
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Classifications

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    • G06K9/4604—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections
    • G06K9/4609—Detecting partial patterns, e.g. edges or contours, or configurations, e.g. loops, corners, strokes, intersections by matching or filtering
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