详情

原文传递 Vehicle recognition in infra-red images using parallel vision board.

题名：	Vehicle recognition in infra-red images using parallel vision board.
作者：	KAGESAWA-M (Tokyo Univ, Japan); UENO-S (Keio Univ, Yokohama, Japan); IKEUCHI-K (Tokyo Univ, Japan); KASHIWAGI-H (Keio Univ, Yokohama, Japan)
关键词：	CONFERENCE-; 8525-; INTELLIGENT-TRANSPORT-SYSTEM; 8735-; AUTOMATIC-VEHICLE-IDENTIFICATION; 8767-; IMAGE-PROCESSING; 8633-; INFRARED-; 6797-; CALCULATION-; 6464-; METHOD-; 9102-; DATA-BANK; 8614-
摘要：	This paper describes a method for vehicle recognition, in particular, for recognizing a vehicle's make and model. The system employs infra-red images so that the same algorithm can be used both day and night, The algorithm, based on the vector-quantization, was originally proposed by Krumm, and is implemented on an IMAP parallel image-processing board. The system makes the compressed database of local features, for the algorithm, of a target vehicle from given training images in advance; the system then matches a set of local features in the input image with those in training images for recognition. This method has the following advantages: it can detect even if part of the target vehicle is occluded; it can detect even if the target vehicle is translated due to running out of the lanes; and it does not require segmentation of vehicle part from input images. The above advantages have been confirmed by performing outdoor experiments. (A*) For the covering abstract see ITRD E110327.
总页数：	PROCEEDINGS OF 6TH WORLD CONGRESS ON INTELLIGENT TRANSPORT SYSTEMS (ITS), HELD TORONTO, CANADA, NOVEMBER 8-12, 1999. 1999. pp-
报告类型：	科技报告