动态视觉中物体识别的进化机制与实现

Sha Sha, Chen Jianer, Qin Ling, Luo Sanding
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引用次数: 1

摘要

为了提高动态视觉识别的实时性和鲁棒性,本文提出了一种新的进化识别机制和实现技术,即模仿油画过程的感知-表达交互。这一机制可以将持续观察、多层次描述、反复确认的油画过程转化为在进化力量的驱动下进化对象逐渐成熟的过程,并分析进化对象的进化过程。提出了进化对象的进化模型和三种进化驱动力,讨论了进化识别的关键技术,验证了其可行性,并通过道路环境目标识别实验提出了需要解决的问题。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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