Non-human multi-target real-time track extraction method in traffic video scene

The invention discloses a non-human multi-target real-time track extraction method in a traffic video scene. The non-human multi-target real-time track extraction method comprises the steps: carryingout the target detection of an inputted traffic video image through combining with a background diffe...

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Bibliographische Detailangaben
Hauptverfasser: GU YANGSONG, HU QIURUN, CAO QIANXIA, ZHANG KANGKAI, YU PENG
Format: Patent
Sprache:chi ; eng
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Zusammenfassung:The invention discloses a non-human multi-target real-time track extraction method in a traffic video scene. The non-human multi-target real-time track extraction method comprises the steps: carryingout the target detection of an inputted traffic video image through combining with a background difference method, and obtaining all traffic entity targets of each frame in the video image; realizingclassification and identification of motor vehicles, non-motor vehicles and pedestrians by utilizing the length-width ratio and the two-dimensional area characteristics of the traffic entity targets;designing a non-human multi-target real-time trajectory matching tracking algorithm, matching the trajectories of the traffic entity targets detected in each frame with the trajectories of the previously detected traffic entity targets one by one, and classifying the traffic entity targets to which the traffic entity targets belong to realize tracking if the matching succeeds; and extracting the trajectory of the traffic en