Dense Stereo-Based ROI Generation for Pedestrian Detection
Proceedings of the 31st DAGM Symposium on Pattern Recognition
High-Level Fusion of Depth and Intensity for Pedestrian Classification
Proceedings of the 31st DAGM Symposium on Pattern Recognition
A survey on vision-based human action recognition
Image and Vision Computing
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Advanced Engineering Informatics
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ECCV'10 Proceedings of the 11th European conference on Computer vision: Part II
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ECCV'10 Proceedings of the 11th European conference on Computer vision: Part IV
Disparity statistics for pedestrian detection: combining appearance, motion and stereo
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Speeding up HOG and LBP features for pedestrian detection by multiresolution techniques
ISVC'10 Proceedings of the 6th international conference on Advances in visual computing - Volume Part I
A heuristic deformable pedestrian detection method
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Pyramid center-symmetric local binary/trinary patterns for effective pedestrian detection
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Opponent colors for human detection
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A new pedestrian detection descriptor based on the use of spatial recurrences
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TED: A texture-edge descriptor for pedestrian detection in video sequences
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Long term carefully learning for person detection application to intelligent surveillance system
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Shape matching using a binary search tree structure of weak classifiers
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On pedestrian detection and tracking in infrared videos
Pattern Recognition Letters
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Pattern Recognition Letters
Transfer learning for pedestrian detection
Neurocomputing
Improving HOG with image segmentation: application to human detection
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Monocular object detection using 3d geometric primitives
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part I
Moving object detection with laser scanners
Journal of Field Robotics
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Pattern Recognition Letters
Pre-attention cues for person detection
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
Fast pedestrian detection based on sliding window filtering
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A self-constructing cascade classifier with AdaBoost and SVM for pedestriandetection
Engineering Applications of Artificial Intelligence
Fast window fusion using fuzzy equivalence relation
Pattern Recognition Letters
An HOG-CT human detector with histogram-based search
Multimedia Tools and Applications
Novel and efficient pedestrian detection using bidirectional PCA
Pattern Recognition
Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection
International Journal of Robotics Research
Spatial Recurrences for Pedestrian Classification
Journal of Mathematical Imaging and Vision
A novel multiplex cascade classifier for pedestrian detection
Pattern Recognition Letters
Detecting pedestrians on a Movement Feature Space
Pattern Recognition
Object segmentation and classification using 3-D range camera
Journal of Visual Communication and Image Representation
Robotics and Autonomous Systems
Pattern Recognition Letters
Macrofeature layout selection for pedestrian localization and its acceleration using GPU
Computer Vision and Image Understanding
Computer Vision and Image Understanding
International Journal of Computer Vision
Human automatic detection and tracking for outdoor video
Integrated Computer-Aided Engineering
Pedestrian detection in far infrared images
Integrated Computer-Aided Engineering
Exploiting temporal and spatial constraints in traffic sign detection from a moving vehicle
Machine Vision and Applications
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Pedestrian detection is a rapidly evolving area in computer vision with key applications in intelligent vehicles, surveillance, and advanced robotics. The objective of this paper is to provide an overview of the current state of the art from both methodological and experimental perspectives. The first part of the paper consists of a survey. We cover the main components of a pedestrian detection system and the underlying models. The second (and larger) part of the paper contains a corresponding experimental study. We consider a diverse set of state-of-the-art systems: wavelet-based AdaBoost cascade [74], HOG/linSVM [11], NN/LRF [75], and combined shape-texture detection [23]. Experiments are performed on an extensive data set captured onboard a vehicle driving through urban environment. The data set includes many thousands of training samples as well as a 27-minute test sequence involving more than 20,000 images with annotated pedestrian locations. We consider a generic evaluation setting and one specific to pedestrian detection onboard a vehicle. Results indicate a clear advantage of HOG/linSVM at higher image resolutions and lower processing speeds, and a superiority of the wavelet-based AdaBoost cascade approach at lower image resolutions and (near) real-time processing speeds. The data set (8.5 GB) is made public for benchmarking purposes.