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All-to-all broadcast, which means that every node in the network has its own data packet to share among the other nodes, plays a significant role in some applications, such as situation awareness and cooperative engagement. However, current studies in the TDMA (Time Division Multiple Access) manner mainly focus on the fixed size model, which assumes that all data packets can be successfully transmitted...
A fuzzy color extractor is defined by fuzzy rules to extract certain colors based on a color pattern (color seed). In order to extract certain colors from images in real-time, this paper attempts to implement a fuzzy color extractor on NI myRIO embedded device, which features the Xilinx Zynq-7010 all-programmable system including a dual-core ARM® Cortex™-A9 real-time processor and an Artix-7 FPGA...
This paper presents a novel color quantization method based on Normalized Cut clustering algorithm, in order to generate a quantized image with the minimum loss of information and the maximum compression ratio, which benefits the storage and transmission of the color image. This new method uses a deformed Median Cut algorithm as a coarse partition of color pixels in the RGB color space, and then take...
Mean-shift is an effective algorithm for object tracking. However, it has a poor performance when the illumination condition changes fast or the tracking target being shadowed. By contract, particle filter based object tracking has a better tracking performance, but the tracking speed is much slower compared to mean-shift. Owing to the limitations of just using a single algorithm, a novel object tracking...
In this paper, we propose a novel method that is capable of detecting and removing moving cast shadows robustly. Four properties of the moving cast shadows are observed. To make full use of the four properties, pixel level processing is adopted to extract the color, texture and luminance features of the moving foreground, and region level processing is introduced to detect shadows. Another innovation...
In this paper, the problem of foreground segmentation in videos is considered. The bag of superpixels is proposed to simultaneously model both the foreground and the background. Then it is demonstrated that an image has a hierarchical structure. Based on this observation, the discriminative nature of sparse representations is exploited to segment the foreground in each frame. Experimental results...
This paper presents a solution for video retrieval of frontal-view indoor moving pedestrians. A novel and effective system which contains two parts, feature extraction and key frame sets matching, is proposed. For the first part, a successful fusion strategy is proposed for effectively combining information from color and texture features. The experiment indicates that the retrieval accuracy based...
This paper presents a novel relevance feedback algorithm for image retrieval in content-based image retrieval systems based on the Logistic regression model. In order to narrow down the semantic gap between user's high-level query concepts and the low-level image features, user preferences are added to the algorithm. Based on modeling of user preferences as a probability distribution, the algorithm...
A fast and effective fade detection algorithm is proposed in this paper, which directly operates in compressed domain and suitable for real-time implementation. By analyzing the prediction directions of B frames, which are revealed in the macroblock types, the candidate fades can be found. Then, uncommon intracoded macroblocks of the P frame can be applied as an indicator of fade. As a result, locating...
In this paper, we present an intelligent fusion framework to combine two complementary features for visual tracking. Color histogram has attracted much attention in recent years due to its simplicity and robustness. The capability of color histogram to deal with partial occlusion and non-rigidity has been demonstrated. In practice, however, relying on color information only is not sufficient in cases...
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