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This paper introduces a model to track bees on 2D video with a 50Hz frame rate. The model detects bees using background subtraction and colour thresholding, producing a binary image showing the bees as blobs. The blobs are then analysed to estimate the bees' positions, which are then used to track the bees in successive video frames. However, in the 50Hz video, bees move a significant distance from...
In this paper, gesture recognition algorithm with kinect sensor is proposed. the depth cue is used to locate the hand area. Based on the histograms of oriented gradient (HOG) and adaboost learning methods, the static hand algorithm is designed to recognize the predefine gesture in the hand Area. by tracking the hand trajectory by kinect, hmms is used to train and classify dynamic gesture. an intelligent...
Computer-aided automatic analysis of microscopic leukocyte is a powerful diagnostic tool in biomedical fields which could reduce the effects of human error, improve the diagnosis accuracy, save manpower and time. However, it is a challenging to segment entire leukocyte populations due to the changing features extracted in the leukocyte image, and this task remains an unsolved issue in blood cell image...
A fused background model that combines the eigenbackground with Gaussian models is proposed. We adopt the eigenspace model to build the intensity information for each pixel. Unimodal Gaussian density methods with less computational cost are used to describe color information for each pixel. An adaptive strategy is used to integrate the two models. Using the fused background model, we subtract the...
This paper proposes background segmentation methods that integrate color, Ibp contrast and motion cues so as to improve the segmentation results. The background color models based on GMMs are developed to describe the scene. Motion cues is presented to detect the legitimate moved foreground pixels combining with the background subtraction. Lbp contrast features are used to calculate the image contrast...
This paper proposes an automatic background segmentation system based on mixture background models and lbp contrast. An adaptive per-pixel background model is developed to set the data cost of an image graph, lbp contrast is adopted to capture the contrast information. We verify our algorithm in different video sequences including public video sequences. Experimental results of composite video demonstrate...
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