A novel traffic sign recognition system is presented in this work. Firstly, the color segmentation and shape classifier based on signature feature of region are used to detect traffic signs in input video sequences. S...A novel traffic sign recognition system is presented in this work. Firstly, the color segmentation and shape classifier based on signature feature of region are used to detect traffic signs in input video sequences. Secondly, traffic sign color-image is preprocessed with gray scaling, and normalized to 64×64 size. Then, image features could be obtained by four levels DT-CWT images. Thirdly, 2DICA and nearest neighbor classifier are united to recognize traffic signs. The whole recognition algorithm is implemented for classification of 50 categories of traffic signs and its recognition accuracy reaches 90%. Comparing image representation DT-CWT with the well-established image representation like template, Gabor, and 2DICA with feature selection techniques such as PCA, LPP, 2DPCA at the same time, the results show that combination method of DT-CWT and 2DICA is useful in traffic signs recognition. Experimental results indicate that the proposed algorithm is robust, effective and accurate.展开更多
We name colors of foods with great ease. This process is conventionalized through our cultures and our biological dictates. People identify food colors through words that are again highly constrained. Embodiment of ex...We name colors of foods with great ease. This process is conventionalized through our cultures and our biological dictates. People identify food colors through words that are again highly constrained. Embodiment of experience and perception deals with these constraints to make color term use a cognitively economical mechanism, keeping numbers of concepts in mind through categorial conceptualization in long term memory. The parallel process that puts together our linguistic and visual information, allows the individual to map a correspondence between the two frames. The result of this mapping is a ＂cognitive color＂ in long term color memory. This paper presents an experiment in triggering long term memory and the response results. The objective was to verify whether individuals＇ cognitive color of well known foods, both raw and cooked, that they had just identified with Natural Color System （NCS） color samples, would be predominantly a primary basic color term, a secondary basic color term, or a complete descriptive utterance. The name used to communicate a desired signification is accessed through the judgement of similarity and difference with a point of reference. In this case, the food color vantage represents the cognitive color remembered.展开更多
基金Projects(90820302, 60805027) supported by the National Natural Science Foundation of ChinaProject(200805330005) supported by Research Fund for Doctoral Program of Higher Education, ChinaProject(2009FJ4030) supported by Academician Foundation of Hunan Province, China
文摘A novel traffic sign recognition system is presented in this work. Firstly, the color segmentation and shape classifier based on signature feature of region are used to detect traffic signs in input video sequences. Secondly, traffic sign color-image is preprocessed with gray scaling, and normalized to 64×64 size. Then, image features could be obtained by four levels DT-CWT images. Thirdly, 2DICA and nearest neighbor classifier are united to recognize traffic signs. The whole recognition algorithm is implemented for classification of 50 categories of traffic signs and its recognition accuracy reaches 90%. Comparing image representation DT-CWT with the well-established image representation like template, Gabor, and 2DICA with feature selection techniques such as PCA, LPP, 2DPCA at the same time, the results show that combination method of DT-CWT and 2DICA is useful in traffic signs recognition. Experimental results indicate that the proposed algorithm is robust, effective and accurate.
文摘We name colors of foods with great ease. This process is conventionalized through our cultures and our biological dictates. People identify food colors through words that are again highly constrained. Embodiment of experience and perception deals with these constraints to make color term use a cognitively economical mechanism, keeping numbers of concepts in mind through categorial conceptualization in long term memory. The parallel process that puts together our linguistic and visual information, allows the individual to map a correspondence between the two frames. The result of this mapping is a ＂cognitive color＂ in long term color memory. This paper presents an experiment in triggering long term memory and the response results. The objective was to verify whether individuals＇ cognitive color of well known foods, both raw and cooked, that they had just identified with Natural Color System （NCS） color samples, would be predominantly a primary basic color term, a secondary basic color term, or a complete descriptive utterance. The name used to communicate a desired signification is accessed through the judgement of similarity and difference with a point of reference. In this case, the food color vantage represents the cognitive color remembered.
