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Foreground extraction and moving object detection are often used in human tracking systems. However those methods are not able to produce accurate results when objects are too close or when occlusions happen since the result is generally a single big blob which contains all the different objects. In this paper we propose a novel and efficient moving object detection enhancement method. Indeed, by...
Depth map coding is a new topic in multiview video coding (MVC) following the development of depth-image-based rendering (DIBR). Since depth map is monochromatic and has less texture than color map, fast algorithm is necessary and possible to reduce the computation burden of the encoder. This paper proposed difference detection based early mode termination strategy. The difference detection (DD) algorithms...
The algorithm presented is a very efficient and robust object tracking algorithm based on particle filter. The aim is to deal with noisy and bad resolution video surveillance cameras. The main feature used in this method is multi-candidate object detection results based on a background subtraction algorithm combined with color and interaction features. This algorithm only needs a small number of particles...
In this paper, we propose a novel feature named histogram of template (HOT) for human detection in still images. For every pixel of an image, various templates are defined, each of which contains the pixel itself and two of its neighboring pixels. If the intensity and gradient values of the three pixels satisfy a pre-defined function, the central pixel is regarded to meet the corresponding template...
In this paper, a novel method to detect partially occluded humans in still images is proposed. An individual human is modeled as an assembly of natural body parts. Some part based SVM classifiers are trained first by using histogram of orientated gradient feature. Different from other boosting methods, region information is stored in each classifier. When detect human in crowed scene, according to...
Elliptical object detection in color images is an important step of many image recognition systems. In this paper, we present a novel approach to accurately detect elliptical objects in color images. The proposed method has an important feature of integrating color image edge detection result with a novel ellipse parameter estimation algorithm efficiently. First, we utilize an elaborate edge detection...
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