A neural network approach to pedestrian detection
ICCOMP'09 Proceedings of the WSEAES 13th international conference on Computers
Real-time pedestrian detection and tracking at nighttime for driver-assistance systems
IEEE Transactions on Intelligent Transportation Systems
An Enhanced Layer Embedded Pedestrian Detector
KES '09 Proceedings of the 13th International Conference on Knowledge-Based and Intelligent Information and Engineering Systems: Part II
Fast Vision-Based Object Recognition Using Combined Integral Map
ICVS '09 Proceedings of the 7th International Conference on Computer Vision Systems: Computer Vision Systems
A Novel Method for Efficient Indoor---Outdoor Image Classification
Journal of Signal Processing Systems
Football player detection in video broadcast
ICCVG'10 Proceedings of the 2010 international conference on Computer vision and graphics: Part II
Signal Processing
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
MMM'11 Proceedings of the 17th international conference on Advances in multimedia modeling - Volume Part I
A heuristic deformable pedestrian detection method
ACCV'10 Proceedings of the 10th Asian conference on Computer vision - Volume Part II
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
Improving detector of Viola and Jones through SVM
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
A Reliable People Counting System via Multiple Cameras
ACM Transactions on Intelligent Systems and Technology (TIST)
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Efficient visual attention based framework for extracting key frames from videos
Image Communication
A self-constructing cascade classifier with AdaBoost and SVM for pedestriandetection
Engineering Applications of Artificial Intelligence
An HOG-CT human detector with histogram-based search
Multimedia Tools and Applications
Modular interpretation of low altitude aerial images of non-urban environment
Digital Signal Processing
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We propose a method that can detect humans in a single image based on a novel cascaded structure. In our approach, both intensity-based rectangle features and gradient-based 1-D features are employed in the feature pool for weak-learner selection. The Real AdaBoost algorithm is used to select critical features from a combined feature set and learn the classifiers from the training images for each stage of the cascaded structure. Instead of using the standard boosted cascade, the proposed method employs a novel cascaded structure that exploits both the stage-wise classification information and the interstage cross-reference information. We introduce meta-stages to enhance the detection performance of a boosted cascade. Experiment results show that the proposed approach achieves high detection accuracy and efficiency.