2017
DOI: 10.1016/j.neucom.2017.04.026
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Unsupervised video summarization using cluster analysis for automatic vehicles counting and recognizing

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Cited by 27 publications
(7 citation statements)
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“…However, this application still had limitations when it had to deal with complex traffic and environmental condition [163]. Therefore, clustering analysis was used in image segmentation [164] and pattern recognition [153] to overcome these limitations. Important information about dynamic traffic processes, such as the instantaneous number of vehicles, their weight, speed, and distance among vehicles, was available for precise positioning detection.…”
Section: Intelligent Transportation System (Its)mentioning
confidence: 99%
“…However, this application still had limitations when it had to deal with complex traffic and environmental condition [163]. Therefore, clustering analysis was used in image segmentation [164] and pattern recognition [153] to overcome these limitations. Important information about dynamic traffic processes, such as the instantaneous number of vehicles, their weight, speed, and distance among vehicles, was available for precise positioning detection.…”
Section: Intelligent Transportation System (Its)mentioning
confidence: 99%
“…Video-based traffic detection of passing vehicles has been implemented with various techniques: MoG (mixed of Gaussian) [ 42 ] and frame-history background subtraction [ 43 ] can filter out the nonstatic multi-modal background (e.g., shaking leaves, swaying branches, shadows), but both can still result in the false detection of slow-moving or stopping vehicles, and overlapping vehicles (either from a single lane or adjacent lanes). Color-histogram clustering addresses the issue with overlapping vehicles, but, in turn, exhibits inaccuracy due to sudden changes in vehicle velocity, illumination changes, and color composition variation [ 44 ].…”
Section: Related Workmentioning
confidence: 99%
“…Vehicle recognize and traffic density estimation algorithms in traffic are of interest to many researchers such as Rabbouch [16] using cluster analysis for automatic vehicles counting and recognizing. Sanchez [17] proposed algorithm's accuracy is usually determined by comparing, on each video-sequence, the visual inspection count with the automatic count that each algorithm provides.…”
Section: Video-analytics Applications For Transport Servicesmentioning
confidence: 99%