Fast and accurate human detection for video applications using edgelets

Fast and accurate human detection for video applications using edgelets

In automated video analysis, the performance of the detection stage is integral to the performance of subsequent stages such as tracking and behavior recognition. In this paper, we propose a method to boost the speed and accuracy of Wu and Nevatia's edgelet based detectors, by incorporating mot...

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Bibliographische Detailangaben
Hauptverfasser: Chowdhury, M S, Ye Chow Kuang, Ooi, M P
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Accuracy
Classification algorithms
Detectors
edgelets
Human tracking
Humans
Image edge detection
Surveillance
surveillance system
Training
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Beschreibung
Zusammenfassung:In automated video analysis, the performance of the detection stage is integral to the performance of subsequent stages such as tracking and behavior recognition. In this paper, we propose a method to boost the speed and accuracy of Wu and Nevatia's edgelet based detectors, by incorporating motion information to isolate active regions before actually performing detection. Experimental results show that the detection is significantly improved by using our method.
DOI:10.1109/ICCAIE.2010.5735050