1. School of Electronic Information Engineering,Changchun University,3. Jilin Provincial Key Laboratory of Human Health Status Identification and Function Enhancement 在期刊界中查找 在百度中查找 在本站中查找
1. School of Electronic Information Engineering,Changchun University,3. Jilin Provincial Key Laboratory of Human Health Status Identification and Function Enhancement 在期刊界中查找 在百度中查找 在本站中查找
2. School of Computer Science and Technology,Changchun University,3. Jilin Provincial Key Laboratory of Human Health Status Identification and Function Enhancement 在期刊界中查找 在百度中查找 在本站中查找
4. Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,5. School of Biomedical Engineering (Suzhou),Division of Life Sciences and Medicine,University of Science and Technology of China 在期刊界中查找 在百度中查找 在本站中查找
4. Suzhou Institute of Biomedical Engineering and Technology,Chinese Academy of Sciences,5. School of Biomedical Engineering (Suzhou),Division of Life Sciences and Medicine,University of Science and Technology of China 在期刊界中查找 在百度中查找 在本站中查找
The real-time operating system - LabVIEW real-time is used to deploy high-speed image processing algorithm, and combining with FPGA ( field programmable gate array) technology, a high-speed real-time detection tracking and stimulation system facing to animal behavioristics experiments is established. The definitive output of continuous frame image is achieved, and the motion target highspeed detection tracking and stimulation in different animal behavioristics experiment scenarios are realized. The application experiments show that the system has good real-time and stability under the acquisition rate of 100 fps, the processing time of the whole process from target detecting to stimulus feedback signal output is 10 ms stably, the average relative error of the execution time is reduced by 15% compared with that of the traditional system. With online analysis the functions of target detection, motion track, mouse behavioral characteristic analysis in the dividing area are completed, and with offline analysis the motion track heat map is generated, which greatly improves the experiment efficiency.