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Chong et al., 2016 - Google Patents

A novel pedestrian detection and tracking with boosted HOG classifiers and Kalman filter

Chong et al., 2016

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Document ID
15021451613092251310
Author
Chong P
Tay Y
Publication year
Publication venue
2016 IEEE Student Conference on Research and Development (SCOReD)

External Links

Snippet

This paper focuses on developing a stable pedestrian detection and tracking algorithm. Although Histogram of Oriented Gradients (HOG) features are the best representation for human shapes, computing these feature vectors are computationally expensive as it slows …
Continue reading at www.researchgate.net (PDF) (other versions)

Classifications

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