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The image of the vehicle is extracted by analyzing a locus in a spatio\u2010temporal image seen through a slit in a fixed video camera, by updating the background image and superimposing a time\u2010series of the background difference image. The method can extract a full image of various types of vehicles in an arbitrary background with minimum defects, and can separate the images of two vehicles when one crosses in front of the other. The method has been tested successfully with actual traffic (including traffic starting from a traffic light). The results show that the method is practical for smoothly flowing traffic. The method has also been tested successfully for identifying vehicle types.<\/jats:p>","DOI":"10.1002\/scj.4690261208","type":"journal-article","created":{"date-parts":[[2007,7,8]],"date-time":"2007-07-08T03:55:54Z","timestamp":1183866954000},"page":"71-82","source":"Crossref","is-referenced-by-count":0,"title":["Automatic vehicle image extraction based on spatio\u2010temporal image analysis"],"prefix":"10.1002","volume":"26","author":[{"given":"Tadashi","family":"Nakanishi","sequence":"first","affiliation":[]},{"given":"Akio","family":"Shio","sequence":"additional","affiliation":[]},{"given":"Ken\u2010Ichiro","family":"Ishii","sequence":"additional","affiliation":[]}],"member":"311","published-online":{"date-parts":[[2007,3,21]]},"reference":[{"key":"e_1_2_1_2_2","doi-asserted-by":"crossref","unstructured":"M. P.DubuissonandA. K.Jain.Object contour extraction using color and motion. Proc. IEEEE Computer Society Conf. 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