Filtered channel features for pedestrian detection

Zhang, Shanshan, Benenson, Rodrigo, Schiele, Bernt·2015·2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2015.7298784

Cited by (394)

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  2. End to End Person Re-Identification Based on Attention Mechanism
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  3. A Shallow–Deep Feature Fusion Method for Pedestrian Detection
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  4. Integral Histogram with Random Projection for Pedestrian Detection
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  5. Effective Comparison Features for Pedestrian Detection
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  7. Convolutional Neural Networks with Neural Cascade Classifier for Pedestrian Detection
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  8. Pedestrian detection aided by scale-discriminative network
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  9. Minimal filtered channel features for pedestrian detection
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  11. Efficient and robust indoor people detection based on RGB-D camera
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  12. Adaptive pedestrian detection by modulating features in dynamical environment
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  15. Robust Pedestrian Detection and Path Prediction using Improved YOLOv5
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  16. Overview on automatic detection of human body
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  17. Single-Stage Detector with Semantic Attention for Occluded Pedestrian Detection
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  18. Key point location method for pedestrians in depth images based on deep learning
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  19. Recent Developments in Pedestrian Detection Using Deep Learning
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  21. Convolutional Channel Features: Tailoring CNN to Diverse Tasks
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  24. Advanced HOG Research: Multi-Scale Partitioning HOG Algorithm
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  25. Pedestrian detection in digital videos using committee of motion feature extractors
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  26. Object Detection Based on Image Blur Evaluated by Discrete Fourier Transform and Haar-Like Features
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  27. Supervised Local High-Order Differential Channel Feature Learning for Pedestrian Detection
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  28. Filtered local pattern descriptor for face recognition and infrared pedestrian detection
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  29. Fast Pedestrian Detection Based on the Selective Window Differential Filter
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  30. High-speed human detection in top-view images by feature scaling for informed filters
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  31. Soft-Cascade Learning with Explicit Computation Time Considerations
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  32. Enhanced Aggregated Channel Features Detector for Pedestrian Detection Using Parameter Optimisation and Deep Features
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  33. Fast pedestrian detection using scale-aware pooling
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  63. Pedestrian head detection in deep motion networks
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  64. Arquitetura multi-core reconfigurável para detecção de pedestres baseada em visão
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  65. Efficient Object Recognition with Multi-Directional Features in Urban Scenes
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  67. Fast pixel-box for pedestrian detection
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  68. Pedestrian detection with dynamic iterative bootstrapping
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  69. Improving channel features using statistical analysis for pedestrian detection
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  70. Adapting Generic Detector for Semi-Supervised Pedestrian Detection
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  71. Real-time pedestrian detection for driver assistance systems based on deep learning
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  72. Building Feature Pool Effectively for Real-Time Pedestrian Detection
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  73. Learning detector ensembles for object detection
    Chunluan Zhou · 2018
  74. Cascade-Dispatched Classifier Ensemble and Regressor for Pedestrian Detection
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  75. Vehicle detection system using soft channel cascade for resource-limited platforms
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  76. Neighboring and Non-Neighboring Features for Pedestrian Detection
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  77. Masked RCNN+ fast boosted tree classifier
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  78. Single shot relation detector for pedestrian detection
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  79. Exclusion-Net
    Zhiming Liu, Ming Shao, Jin Wang, Li Kaide, Yaonong Wang, Miao Cheng · 2019 · International Conference on Information Technology: IoT and Smart City (ICIT)
  80. Fast and accurate vision-based pedestrian detection
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  81. Specific Patches Decorrelation Channel Feature on Pedestrian Detection
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  82. Design and development of an interactive autonomous monitoring and surveillance drone
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  83. The effectiveness of aggregate channel features in detecting targets in different environments
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  84. Attention-based Cross-Modality Multiscale Fusion for Multispectral Pedestrian Detection
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  85. Aggregate channel features in detecting multiple targets of an indoor scene
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  86. Cross-domain pedestrian detection via feature alignment and image quality assessment
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  87. Human Instance Segmentation Based on Omega- Shape Using Deep Learning
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  88. Evaluation of Dense Differential Filter to Detect Semantic Edges for Estimating 3D Room Structure
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  89. ShellNet++: A Dynamic Shell Convolution-Based Framework for LIDAR Point Cloud Pedestrian Detection
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  90. Techniques d'optimisation pour la détection et ré-identification de personnes dans un réseau de caméras
    Francisco Rodolfo Barbosa-Anda · 2018
  91. Handling the speed-accuracy trade-off in deep-learning based pedestrian detection systems
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  92. Pedestrian Detection Techniques for Advanced Driver Assistance Systems: A Comprehensive Review
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  93. A novel lane detection approach for vehicle adaptive headlamps
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  94. Towards Driver Behavior Understanding: Weakly-Supervised Risk Perception in Driving Scenes
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