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In this paper, a novel method based on the two-stream dictionary learning architecture for human action recognition is proposed. The architecture consists of interest patch (IP) detector and descriptor, two-stream dictionary models, and support vector machine (SVM) for classification. The novel IP detector combines a human detector and a contour detector to extract patches of interest on human contours...
2D Detection with gray level images is popularly employed in current surface inspection systems of steel strips, which lead to high false detection rate because of interference of pseudo-defects, such as iron oxide, water stains, and grease. Therefore, an online detection technique of 3D defects based on photometric stereo was developed in this paper. The acquired 3D information is utilized to distinguish...
Recently announced RGB-D cameras like Microsoft Kinect are attractive sensing systems providing RGB images along with registered depth information at a high frame rate. This advantage makes such cameras greatly useful in the context of robotics, especially for dense 3D mapping in home environment. However, depth information they provide is usually incomplete and imprecise. This paper presents a method...
The concept of active tracking is presented to simulate the characteristics of human vision in intelligent visual surveillance. The Pan/Tilt/Zoom (PTZ) camera is generally used for active tracking. In this paper, we present a novel and effective approach for active object tracking with a PTZ camera, and construct a near real-time system for indoor and outdoor scenes. The tracking algorithm of our...
An online surface inspection system of hot rolled strips is introduced. This system is designed to detect such main surface defects on hot rolled strips as scar, scratches, pits, cracks, cross hatchings, and so on. Multiple CCD area scan cameras are adopted to capture images of strip surface simultaneously, and all the images are processed by parallel computation system real-time, which is supported...
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