Curated list of papers on the topic of Pedestrian Detection
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Pedestrian detection in video surveillance using fully convolutional YOLO neural network
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Deep convolutional neural networks for pedestrian detection
- Extends R-CNN
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Adaptive Feeding: Achieving Fast and Accurate Detections by Adaptively Combining Object Detectors
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Obstacle Detection Using Local Shape Context Descriptor on Railway Track
- Based on Local Shape Context descriptor
- Using edge based orientation information
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Night-time Pedestrian Detection Based on Temperature and HOGI Feature in Infra-red Images
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- HOG
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Nighttime Pedestrian Detection with a Normal Camera Using SVM Classifier
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Detecting Pedestrians Using Patterns of Motion and Appearance
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Automatic pedestrian detection in partially occluded single image
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Pedestrian Detection via Body-part Semantic and Contextual Information with DNN
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Pedestrian detection using improved proposal boxes and grayscale convolutional learning
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Rapid Pedestrian Detection Based on Deep Omega-Shape Features with Partial Occlusion Handing