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Prior to vehicle event detection, detecting vehicles robustly in real time is challenging, especially conducting detection process in images captured by a dynamic camera. Therefore in this study, a robust vehicle detector is developed. The proposed contribution is three\u2010fold. Road modelling is first proposed to confine detection area for maintaining low computation complexity and reducing false alarms as well. Haar\u2010like features and eigencolours are then employed for the vehicle detector. To tackle the occlusion problem, chamfer distance is used to estimate the probability of each individual vehicle. Consequently, to find the bounding box of vehicle candidate, the authors take the configuration of a normalised chamfer distance map that corresponds to the maximum score as the target using exponential entropy. Experiments on an extensive dataset show that the proposed system can effectively detect vehicles under different lighting and traffic conditions, and thus demonstrates its feasibility in real\u2010world environments.<\/jats:p>","DOI":"10.1049\/iet-cvi.2012.0088","type":"journal-article","created":{"date-parts":[[2013,5,17]],"date-time":"2013-05-17T15:02:31Z","timestamp":1368802951000},"page":"81-89","source":"Crossref","is-referenced-by-count":7,"title":["Real\u2010time dynamic vehicle detection on resource\u2010limited mobile platform"],"prefix":"10.1049","volume":"7","author":[{"given":"Duan\u2010Yu","family":"Chen","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering Yuan Ze University Chung\u2010Li Taiwan"}]},{"given":"Guo\u2010Ruei","family":"Chen","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering Yuan Ze University Chung\u2010Li Taiwan"},{"name":"Information and Communication Research Labs Industrial Technology Research Institute Hsinchu Taiwan"}]},{"given":"Yu\u2010Wen","family":"Wang","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering Yuan Ze University Chung\u2010Li Taiwan"}]}],"member":"265","published-online":{"date-parts":[[2013,4]]},"reference":[{"key":"e_1_2_5_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2012.2187640"},{"key":"e_1_2_5_3_2","unstructured":"Papageorgiou C. 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