2009 IEEE Conference on Computer Vision and Pattern Recognition 2009
DOI: 10.1109/cvpr.2009.5206644
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Recognition of repetitive sequential human activity

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Cited by 25 publications
(8 citation statements)
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“…As expected, PHF has a lower precision than STIP , which is roughly 4% less on average on ST-1 and 3% less on ST-2. However, when combining the primitive detection results into visual scans using the approach in [4], it leads to an even smaller performance difference less than 2%, clearly showing that PHF is a qualified substitute for STIPs in the retail context.…”
Section: Event Detection Resultsmentioning
confidence: 85%
See 3 more Smart Citations
“…As expected, PHF has a lower precision than STIP , which is roughly 4% less on average on ST-1 and 3% less on ST-2. However, when combining the primitive detection results into visual scans using the approach in [4], it leads to an even smaller performance difference less than 2%, clearly showing that PHF is a qualified substitute for STIPs in the retail context.…”
Section: Event Detection Resultsmentioning
confidence: 85%
“…Evaluation Measure We evaluated our algorithms in the same way as in [4]. We define the overlap percentage of a primitive e 1 and a prediction e 2 as their intersection divided by the union of the two events, i.e, τ = e 1 take the one with the maximum overlap percentage as the correct match if the percentage exceeds some threshold τ .…”
Section: Resultsmentioning
confidence: 99%
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“…Messing et al [55] used the velocity history of tracked key-points to represent actions and then combined other features, such as appearance, position, and high level sematic features together to recognize activities of daily living. In [56], Fan et al modified the Viterbi algorithm to detect repetitive sequential event units and then recognized the predominant retail cashier activities at the checkout station.…”
Section: Related Workmentioning
confidence: 99%