Evolutionary Mechanism and Implemention for Recognition of Objects in Dynamic Vision
To improve the real-time and robustness of the dynamic visual recognition, this paper proposed a new mechanism and implementation techniques for evolutionary recognition, which is a perceptive--expressive interaction imitating the oil painting process. This mechanism can transform the oil painting process of continual observation, multi-level description, and repeated confirmation into the gradual maturity process of evolutionary objects driven by the force of evolution, as well as analyze the evolution process of evolutionary objects. Also, this paper put forward an evolution model of the evolutionary object as well as three kinds of evolution driving force, discussed the key technologies of evolutionary recognition, verified the feasibility, as well as raised questions that need to be resolved through the experiment of road environmental objective recognition.
computer vision evolutionary vision process evolution machenisim object recognition multi-level classes
Sha Sha Chen Jianer Qin Ling Luo Sanding
School of information science and engineering Central South University Changsha, China
国际会议
第四届国际计算机新科技与教育学术会议(2009 4th International Conference on Computer Science & Education)
南京
英文
178-182
2009-07-25（万方平台首次上网日期，不代表论文的发表时间）