A Video Test Sequences Generation Way for Behavior Recognition Based on Cloud Model
Testing behavior recognition algorithm is a key technology of machine vision,tradition way to generate video test sequences has many defects,and a new way based on cloud model is putted forward.Moving object parameters such as moving types in image sequence were collected; these parameters were inputted into backward cloud generator.The quantitative representation of qualitative concept,expectation Ex,entropy En,super entropy He were gotten.These parameters were used to simulate the moving object behavior representation parameters.Ex,En,He were inputted into normal cloud generator,every moving object was designed as agent,agent can adjust behavior parameters by feeling environment and auto excitation.These behavior parameters were used to evaluate some classics algorithm.The experiment show that:the time cost of new way is 10% of tradition way,and two methods have same effect on testing algorithm recognition rate and algorithm recognition speed,and new way is superior to tradition way on testing algorithm robustness.
Video Test Sequences Generation Method Behavior Recognition Algorithm Evaluation Cloud Mode Moving Object Agent Reverse Cloud Generator Forward Cloud Generator
Min Li Bin Wu
The 5th research institutes,China academy of engineering physics,Mian yang,621000,Sichuan,China;Depa Department of information engineering,Southwest University of science and technology,Mian yang,62100
国际会议
广州
英文
1276-1280
2012-11-16（万方平台首次上网日期，不代表论文的发表时间）