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Single feature of pedestrian is difficult to accurately describe the target using traditional algorithms. A new reidentification algorithm combing global features and local features with different distance metric function is introduced. First, weighted color histogram feature for whole pedestrian is extracted and combined with Bhattacharyya distance to roughly recognize targets. Then pedestrians’...
In this paper, in order to detect changes in high resolution remote sensing images, we propose an MRF-based change detection method combined with the semantic information. Two temporal high resolution remote sensing images are represented by features of superpixels. For given images, we transform the change detection problem into a binary classification problem by combining differences in both low-level...
This paper presents a novel approach of video fire detection by the features of fire extracted in radiant energy domain. Firstly, a fire color model in YCbCr color space is applied to extract fire-colored pixels as candidate regions of fire. Secondly, we convert the color space of the candidate regions into radiant energy domain through camera calibration in advance and model six features of fire...
From the functional point of view, a method that employed an Immune Programming algorithm to extract rules from Neural Network (NN) was presented. According to quantifying color feature of landscape images had been marked with emotion values in China Affective Picture System (CAPS), the method clustered outputs of hidden neurons of NN, reduced the searching scale, and the mapping between color and...
This paper proposed a parallel particle filter algorithm with the help of GPU (Graphic Processing Unit) in face tracking. Due to illumination and occlusion problems, face tracking usually does not work stably based on a single cue. Three different visual cues, color histogram, edge orientation histogram and wavelet feature, are integrated under the framework of particle filter to improve the tracking...
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