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2012 International Conference on Solid State Devices and Materials Science(SSDMS 2012)

作者： Zhou Jun School of Mathematics Physics and Software EngineeringLanzhou Jiaotong University

In this paper, we present a ultraweak photon emission（UPE） measurement system to identify the biological death process. Using medical mouse, the relationship between the photon number of UPE and death process was investigated in our research work. The comparison between the normal living state and biological death process shows that there was an obvious increasing trend of the ultraweak photon emission number just before biological objects died. The results suggest that UPE may be used as a method to observe the physiology activities, and also identify the process of death and the state of living.

关键词： Biological photon ultraweak photon emissions(UPE) death process

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Optimization of the Occlusion Strategy in Visual Tracking

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Tsinghua Science and Technology 2016年第2期21卷 221-230页

作者： Jinghuan Wen Huimin Ma Xiaoqin Zhang Department of Electronic Engineering Tsinghua University

Interference and anti-interference are two opposite and important issues in visual tracking. Occlusion interference can disguise the features of a target and can also be used as an effective benchmark to determine whether a tracking algorithm is reliable. In this paper, we proposed an inner Particle Swarm Optimization （PSO） algorithm to locate the optimal occlusion strategy under different tracking conditions and to identify the most effective occlusion positions and direction of movement to allow a target to evade tracking. This algorithm improved the standard PSO process in three ways. First, it introduced a death process, which greatly reduced the time cost of optimization. Second, it used statistical data to determine the fitness value of the particles so that the fitness more accurately described the tracking. Third, the algorithm could avoid being trapped in local optima, as the fitness changes with time. Experimental results showed that this algorithm was able to identify a global optimal occlusion strategy that can disturb the tracking machine with 86.8% probability over more than 10 000 tracking processes. In addition, it reduced the time cost by approximately 80%, compared with conventional PSO algorithms.

关键词： particle swarm optimization virtual tracking occlusion interference death process statistical fitnessfunction

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