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In order to improve the tracking performance of radar, a method based on the BP neural network model is given, aiming at the problem that the tracking task priority designing of traditional method cannot ensure radar always tracks important targets under multi-target trace. The method utilizes the target parameters and the performance parameter of radar to comprehensively judge the priority of the...
This paper proposes a robust object tracking algorithm dealing with the occlusion problem and illumination change. In particular, we judge whether each frame image is occluded by the confidence map, and two object spatial-temporal context models are established, one is updated every frame in the process of tracking, and the other is set up before the frame that the object is occluded. This method...
In discriminative tracking algorithms, the accuracy of classifier which relies heavily on the selection of training samples can directly influence the performance of visual tracking. Motivated by above, a tracking algorithm is presented based on regularized approximate residual weighted subsampling in the paper. Through the subsampling procedure, the corrupted samples which exert adverse impacts on...
Visual tracking is one of the most active research areas in computer vision, with numerous application including augmented reality, surveillance, weapons-guiding technologies, and object identification. The key question for robust visual tracking is to extract the appearance model features of target appropriately and locate the object exactly. This paper presents a novel nonrigid target tracking algorithm...
The existing simulated mouses are mostly based on the hand tracking technique, which depend on the data gloves, remote controllers or other equipment, leading to high costs and severe user limits. In this paper, we develop a new kind of simulated mouses by employing dynamic hand gesture recognition in which the palm node is detected by a Kinect camera. According to the movements of users in real world,...
A single identification model can not guarantee the reliability of the real target recognition in theory, which makes the adaptability can not meet the needs of multi-tasking in the electro-optical imaging identification and tracking system. There is the limitation that single-DSP + FPGA can only realize a relatively simple single-mode image-processing software. The paper combined with targets real-time...
As a new branch of multi-models method, Variable Structure Multiple Models (VSMM) approach is a hot topic, which involves target tracking, fault detection, etc. In this paper, it analyzes VSMM method in depth, at first. Then, it introduces three kinds of essential idea of Model Set Adaptive (MSA) being the kernel of VSMM, respectively. In succession, three typical and practical algorithms of VSMM...
The region descriptor and template update strategy are the keys of object tracking algorithm. In the paper, we proposed an adaptive template update method based on region covariance descriptor to track the object in a complex circumstance using particle filter. We experimented the proposed approach on people in video sequences, and experimental results show that this method has better performance.
Using particle filter to track human movement, a key problem is how to draw samples in high-dimensional state space. In this paper, we present a novel framework of particle filtering, namely Hierarchical Genetic Particle Filter (HGPF), to improve the efficiency of samples by a hierarchical evolutionary detection. As a result, we can obtain reasonably distributed samples thus translating into reliable...
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