Pedestrian Detection
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Pedestrian detection is a computer vision technology used to identify and locate pedestrians within images or video sequences. This technology has applications across multiple domains, including traffic safety, urban planning, and business intelligence. Pedestrian detection systems typically employ advanced image processing algorithms and machine learning techniques to recognize human figures in visual data and mark their positions with bounding boxes. Implementation often involves feature extraction methods like Histogram of Oriented Gradients (HOG) combined with classification algorithms such as Support Vector Machines (SVM), or more modern deep learning approaches using convolutional neural networks (CNNs). This technology contributes to enhanced traffic safety through collision avoidance systems, optimized urban infrastructure planning by analyzing pedestrian flow patterns, and improved business efficiency through customer behavior analysis in retail environments.
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