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Automatic traffic sign recognition system can help the driver to make a right decision at the right time for safe driving. This paper presents an algorithm for detection of traffic sign using color centroid matching. This algorithm detects the traffic sign from the images captured from the complex road environment. YCbCr color space is used for color segmentation to make the detection process independent...
In this paper, we evaluate several low dimensional color features for object retrieval in surveillance video. Previous work in object retrieval in surveillance has been hampered by issues in low resolution, poor segmentation, pose and lighting variations and the cost of retrieval. To overcome these difficulties, we restrict our analysis to alarm-based vehicle detection and as a consequence, we restrict...
Find a car in large park is a challenge for intelligent parking lot management system. In this paper, an intelligent car-searching approach for large parking lot is presented. In the new approach, some cameras are set up in each road. Vision information of the car, including car color and license plate are recognized and saved in database. Considering that no license plate recognition system can 100%...
In this paper, we propose a traffic sign detection and recognition technique by augmenting the scale invariant feature transform (SIFT) with new features related to the color of local regions. SIFT finds local invariant features in a given image and matches these features to the features of images that exist in the training set. Recognition is performed by finding out the training image that gives...
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