Object Tracking Method based on Color Particle Filter
نویسندگان
چکیده
Object tracking in real time video is a challenging task and has many necessary applications. Particle filtering has been proven very successful for non-Gaussian and non-linear estimation application. In this research, we tried to develop a color-based particle filter. And the color distributions of video frames are integrated into particle filtering. Color distributions are applied because of their robustness and computational efficiency. The model of the particle filter is defined by the color information of the tracked object. The model is compared with the current hypotheses of the particle filter using the Bhattacharyya coefficient. The proposed tracking method directly incorporates the scale and motion changes of the objects. Experimental results have been presented to show the effectiveness of our proposed system
منابع مشابه
An Efficient Target Tracking Algorithm Based on Particle Filter and Genetic Algorithm
In this paper, we propose an efficient hybrid Particle Filter (PF) algorithm for video tracking by employing a genetic algorithm to solve the sample impoverishment problem. In the presented method, the object to be tracked is selected by a rectangular window inside which a few numbers of particles are scattered. The particles’ weights are calculated based on the similarity between feature vecto...
متن کاملConvolutional Gating Network for Object Tracking
Object tracking through multiple cameras is a popular research topic in security and surveillance systems especially when human objects are the target. However, occlusion is one of the challenging problems for the tracking process. This paper proposes a multiple-camera-based cooperative tracking method to overcome the occlusion problem. The paper presents a new model for combining convolutiona...
متن کاملApplying mean shift and motion detection approaches to hand tracking in sign language
Hand gesture recognition is very important to communicate in sign language. In this paper, an effective object tracking and hand gesture recognition method is proposed. This method is combination of two well-known approaches, the mean shift and the motion detection algorithm. The mean shift algorithm can track objects based on the color, then when hand passes the face occlusion happens. Several...
متن کاملObject Tracking using Joint Visible and Thermal Infrared Video Sequences Internal report
Particle filter methods based on color distribution can be used to track non-rigid moving objects in color videos. They are robust in case of noise or partial occlusions. However, using particle filters on color videos is sensitive to changes in the lighting conditions of the scene. The use of thermal infrared image sequences can help the tracking process, as thermal infrared imagery is not sen...
متن کاملObject Tracking Based on Visual Attention Model and Particle Filter
An object tracking method based on visual attention model and particle filter is presented. An improved visual attention model is employed to measure the similarity between tracked objects and candidate objects. Gaussian weighted color, intensity, orientation and motion saliency map are calculated with strategy to compose the attention value, which can be used to measure the similarity of the o...
متن کامل