Vehicle Detection and Tracking in Video

In this paper, we present a scheme for vehicle detection and tracking in video. The proposed method effectively combines statistical knowledge about the class of vehicles with motion information. The unknown distributionof the image patterns of vehicles is approximatelymodeled using higherorderstatisticalinformationderivedfromsampleimages. Statistical information about the background is learnt `on the fly'. A motion detector identifies regions of activity. The classifieruses a higher-orderstatisticalcloseness measure to determine which of the objects actually correspond to moving vehicles. The trackingmoduleusespositionco-ordinates and differencemeasurement values for correspondence. Results on real video sequencesare given.

• Type: Conference
• Year: 2000
• Where: ICIP
• Authors: A. N. Rajagopalan, Rama Chellappa
• Keywords: Detector Identifies Regions, ICIP 2000, Image Processing, Real Video Sequencesare, Statistical Knowledge