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Efficiently and accurately detecting pedestrian plays a very important role in many computer vision applications such as Intelligent Transportation System and Safety Driving Assistant. This paper puts forwards a two-stage pedestrian detection method based on machine vision. Firstly, the expanded Haar-like characteristic is selected and calculated using integral map and the pedestrian detection cascaded...
Detection of local feature covariant region is a new technology of image contents and image semantic representations, and it has become an important foundation of the image recognition, learning and understanding. First, a Laplace of Gaussian corner detection method is proposed based on edge contour curves, in the meantime, a new local feature descriptor, named covariant support region, is introduced...
Keypoints are important features in the perceptual system of humans. They provide important information for focus-of-attention (FoA) and object categorization/recognition. Different types of keypoints have been used in computer vision applications. In this paper, we propose a method which extracts ??salient?? points in the meaning of biological vision by utilizing the multi-scale Gabor energy operator...
In this paper a compact vision-based seam tracking system is designed for fillet joint. The main consideration in developing this system is its applicability and reliability. Thus programmable logical controller (PLC) is used as the controller and smart camera as the vision sensor. To get reliable image features, laser structured light is used. Besides its hardware structure, the image processing...
This paper presents a novel sub-pixel edge detection and center localization algorithm to improve the resolution and accuracy for micro-assembly systems. There are three steps to realize the algorithm. First the invariant moment is used to describe the feature of micro-parts and the edge of the micro-parts is extracted at pixel level by using Canny operator. Secondly, the image information of gradient...
This paper introduces a method of hand-raising gestures detection in indoor environments, using shape and edge features. Past approaches have detected the gestures through recognizing the action for isolated or seated persons. Here, to deal with movements, non-rigidity and partially occlusions of human bodies, the gestures are detected by searching for raised hands and arms rather than recognizing...
This paper proposes a plausible approach for a robot to discover its own body based on the coherence of two different sensory feedbacks; vision and proprioception. The image cues of a moving region are stored in an image base with a visuo proprioceptional coherence label. The existence of coherence between the vision and proprioception suggests that the visually detected object is correlated to its...
Image segmentation is an important and difficult task in computer vision applications. Various methods have been introduced in the past to use gray-level histogram in deciding the segmentation threshold for monochrome images. With the reducing price of color cameras, different color spaces have also been considered in color image based segmentations. In this paper, a study of the effect of color spaces...
This study presents a robust face tracking method based on active stereo camera system. This system is a stereo vision system that can hold its gaze point on the face of the visual target during tracking it. When the system fixes its gaze point on the face exactly, the face can be discriminated from the background by binocular disparity. To keep the gaze point of the system on the face of a moving...
Active contour model(or'snake') is efficient in object contour extraction. It is widely applied in many fields, such as human facial feature extraction, segmenation of medical images, vedio object segmentation, 3D reconstruction, and so on. The implementation of GVF into the B Spline snake is specified, the resulting GVF B spline snake, retains the advantages of GVF snake. In this paper SOR method...
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