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Face diarization, i.e. face tracking and clustering within video documents, is useful and important for video indexing and fast browsing but it is also a difficult and time consuming task. In this paper, we address the tracking aspect and propose a novel algorithm with two main contributions. First, we propose an approach that leverages state-of-the-art deformable part-based model (DPM) face detector...
In this paper, we propose a novel learning-based approach for single image dehazing. The proposed approach is mostly inspired by the observation that the color of the objects fades gradually along with the increment of the scene depth. We regard the RGB values of the pixels within the image as the important feature, and use the back propagation neural network to mine the internal link between color...
Haze is one of the most common atmospheric phenomena. In hazy weather, smoke, dust and other dry particles obscure the clarity of the scenery objects severely degrading the quality of the outdoor images taken by camera. Moreover, most outdoor vision applications such as video-surveillance systems and traffic monitoring systems fail to work normally in this condition. Therefore, improving the technique...
This paper presents a novel image haze removal approach from single image. In the algorithm, the constant albedo and dark channel prior methods are combined to represent the transmission model of hazed image. And then, the quick shift segmentation approach is introduced to decompose the input image into some gray level consistent areas. Compared with traditional fixed image partition schemes, better...
Wireless mesh networks (WMNs) suffer from scalability, performance degradation and service disruption issues due to overwhelming multi-hop co-channel interference, unscrupulous channel utilization and inherent network mobility. We propose a set of efficient distributed dynamic channel access scheduling protocols, called DDCS, based on distributed clustering and dynamic Latin squares for WMN systems...
An Image Signal Processor (ISP) converts raw imaging sensor data into a format appropriate for further processing and human inspection. This work explores FPGA-based ISP designs considering specialized and programmable implementations and proposes an ISP using a programmable generic processing unit with comparable performance versus the dedicated implementations.
Human action recognition is an important topic in computer vision with its applications in robotics, video surveillance, human-computer interaction, user interface design, and multimedia video retrieval, etc. In this paper, we propose a novel representation for human actions using Correlogram of Body Poses (CBP) which takes advantage of both the probabilistic distribution and the temporal relationship...
A bare hand gesture recognition system using only a single color camera without any marker is presented in this paper. The system is mainly composed of image pre-processing, skin segmentation, feature extraction and gesture classification. The image pre-processing module transforms the raw image into the desirable feature vector which mainly includes converting the color images into the hue images...
We present a simple, low cost but fast 3D data acquisition method. We employ a projector to project shifting color De Bruijn strips on the object, and a digital camera to record videos of the scene. The strips pattern divides the image to several spaces and the distortion of the strips on the object is used to get the object's 3D information. A novel space-time edge finding method is introduced to...
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