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This paper proposed a new pedestrian detection method with depth information based on Histogram of Oriented Gradient and Support Vector Machin. According to the principle of perspective, use the different classifier with different scale in different position of the image to reduce the detection time. At the same time, Adding the Hard Examples to negative sample to decrease the false positive rate...
Pedestrian detection algorithm for videos taken by cameras amounted on a moving platform is studied. Firstly, Harris operator is used to extract corner points in each frame. Then Normalized Cross-Correlation (NCC) method is used to match those corner points between two adjacent frames. Based on a set of selected matching points, the global motion parameters are calculated using the projection model...
To improve automotive active safety and guarantee the safety of pedestrians at night time, a fast pedestrian detection method based on monocular far-infrared camera for driver assistance systems is proposed. According to the distribution of gray-level intensity of pedestrian samples, an adaptive local dual threshold segmentation algorithm is executed first to extract candidate regions. The presented...
Pedestrian detection in images and video frames is challenged by the view and posture problem. In this paper, we propose a new pedestrian detection approach by error correcting output code (ECOC) classification of manifold subclasses. The motivation is that pedestrians across views and postures form a manifold and that the ECOC method constructs a nonlinear classification boundary that can discriminate...
Detecting pedestrians in images is a key functionality to avoid vehicle-to-pedestrian collisions. The most promising detectors rely on appearance-based pedestrian classifiers trained with labelled samples. This paper addresses the following question: can a pedestrian appearance model learnt in virtual scenarios work successfully for pedestrian detection in real images? (Fig. 1). Our experiments suggest...
In this paper, we propose a facial direction estimating system from low resolution facial images captured by surveillance camera. The proposed system first detects pedestrians by background subtraction, then trimming head area by template matching and finally estimating facial direction by using support vector machine (SVM). Experimental results show that, when we use 8times9 pixels facial images...
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