A survey on vision-based human action recognition
Image and Vision Computing
Human posture recognition for intelligent vehicles
Journal of Real-Time Image Processing
Simultaneous localization and object detection using an a-contrario approach
Proceedings of the Seventh Indian Conference on Computer Vision, Graphics and Image Processing
Towards human motion capture from a camera mounted on a mobile robot
Image and Vision Computing
Fast human detection based on enhanced variable size HOG features
ISNN'11 Proceedings of the 8th international conference on Advances in neural networks - Volume Part II
Opponent colors for human detection
IbPRIA'11 Proceedings of the 5th Iberian conference on Pattern recognition and image analysis
Feature selection for tracker-less human activity recognition
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Real-time people detection in videos using geometrical features and adaptive boosting
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
Road surface marking classification based on a hierarchical markov model
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part II
Fast and accurate pedestrian detection using a cascade of multiple features
ACCV'10 Proceedings of the 2010 international conference on Computer vision - Volume Part I
A monocular human detection system based on EOH and oriented LBP features
ISVC'11 Proceedings of the 7th international conference on Advances in visual computing - Volume Part I
Pedestrian detection and tracking using HOG and oriented-LBP features
NPC'11 Proceedings of the 8th IFIP international conference on Network and parallel computing
Intelligent automatic overtaking system using vision for vehicle detection
Expert Systems with Applications: An International Journal
Virtual worlds and active learning for human detection
ICMI '11 Proceedings of the 13th international conference on multimodal interfaces
Expert Systems with Applications: An International Journal
Vision-based active safety system for automatic stopping
Expert Systems with Applications: An International Journal
An a-contrario approach for obstacle detection in assistance driving systems
ICIAR'12 Proceedings of the 9th international conference on Image Analysis and Recognition - Volume Part I
A hierarchical clustering based non-maximum suppression method in pedestrian detection
IScIDE'11 Proceedings of the Second Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Find you wherever you are: geographic location and environment context-based pedestrian detection
Proceedings of the ACM multimedia 2012 workshop on Geotagging and its applications in multimedia
Improving HOG with image segmentation: application to human detection
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
State-driven particle filter for multi-person tracking
ACIVS'12 Proceedings of the 14th international conference on Advanced Concepts for Intelligent Vision Systems
Taking mobile multi-object tracking to the next level: people, unknown objects, and carried items
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part V
Road scene segmentation from a single image
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part VII
Pre-attention cues for person detection
COST'11 Proceedings of the 2011 international conference on Cognitive Behavioural Systems
A self-constructing cascade classifier with AdaBoost and SVM for pedestriandetection
Engineering Applications of Artificial Intelligence
Expert Systems with Applications: An International Journal
Feature reduction for efficient object detection via l1-norm latent SVM
IScIDE'12 Proceedings of the third Sino-foreign-interchange conference on Intelligent Science and Intelligent Data Engineering
Fast window fusion using fuzzy equivalence relation
Pattern Recognition Letters
An HOG-CT human detector with histogram-based search
Multimedia Tools and Applications
Fusing LIDAR, camera and semantic information: A context-based approach for pedestrian detection
International Journal of Robotics Research
A survey of appearance models in visual object tracking
ACM Transactions on Intelligent Systems and Technology (TIST) - Survey papers, special sections on the semantic adaptive social web, intelligent systems for health informatics, regular papers
A novel multiplex cascade classifier for pedestrian detection
Pattern Recognition Letters
Detecting pedestrians on a Movement Feature Space
Pattern Recognition
Automatic on-the-fly extrinsic camera calibration of onboard vehicular cameras
Expert Systems with Applications: An International Journal
International Journal of Computer Vision
Pedestrian detection in far infrared images
Integrated Computer-Aided Engineering
Hi-index | 0.15 |
Advanced driver assistance systems (ADASs), and particularly pedestrian protection systems (PPSs), have become an active research area aimed at improving traffic safety. The major challenge of PPSs is the development of reliable on-board pedestrian detection systems. Due to the varying appearance of pedestrians (e.g., different clothes, changing size, aspect ratio, and dynamic shape) and the unstructured environment, it is very difficult to cope with the demanded robustness of this kind of system. Two problems arising in this research area are the lack of public benchmarks and the difficulty in reproducing many of the proposed methods, which makes it difficult to compare the approaches. As a result, surveying the literature by enumerating the proposals one--after-another is not the most useful way to provide a comparative point of view. Accordingly, we present a more convenient strategy to survey the different approaches. We divide the problem of detecting pedestrians from images into different processing steps, each with attached responsibilities. Then, the different proposed methods are analyzed and classified with respect to each processing stage, favoring a comparative viewpoint. Finally, discussion of the important topics is presented, putting special emphasis on the future needs and challenges.