Learning an Alphabet of Shape and Appearance for Multi-Class Object Detection
International Journal of Computer Vision
A Performance Evaluation of Single and Multi-feature People Detection
Proceedings of the 30th DAGM symposium on Pattern Recognition
Context Driven Focus of Attention for Object Detection
Attention in Cognitive Systems. Theories and Systems from an Interdisciplinary Viewpoint
Integrating Visual Context and Object Detection within a Probabilistic Framework
Attention in Cognitive Systems
Object localisation using the Generative Template of Features
Computer Vision and Image Understanding
Efficient Hypothesis Generation through Sub-categorization for Multiple Object Detection
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Human detection based on weighted template matching
ICME'09 Proceedings of the 2009 IEEE international conference on Multimedia and Expo
A Study of Parts-Based Object Class Detection Using Complete Graphs
International Journal of Computer Vision
AdaBoost learning for human detection based on histograms of oriented gradients
ACCV'07 Proceedings of the 8th Asian conference on Computer vision - Volume Part I
A framework for visual-context-aware object detection in still images
Computer Vision and Image Understanding
A novel template matching method for human detection
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Backprojection revisited: scalable multi-view object detection and similarity metrics for detections
ECCV'10 Proceedings of the 11th European conference on Computer vision: Part I
Model-based recognition of domino tiles using TGraphs
Proceedings of the 32nd DAGM conference on Pattern recognition
Fast multi-aspect 2D human detection
ECCV'10 Proceedings of the 11th European conference on computer vision conference on Computer vision: Part III
Cross-Articulation learning for robust detection of pedestrians
DAGM'06 Proceedings of the 28th conference on Pattern Recognition
Accurate Object Recognition with Shape Masks
International Journal of Computer Vision
Longitudinal and lateral control in automated highway systems: their past, present and future
ICIRA'11 Proceedings of the 4th international conference on Intelligent Robotics and Applications - Volume Part II
Model-based recognition of 2D objects under perspective distortion
Pattern Recognition and Image Analysis
Latent hough transform for object detection
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part III
How important are "Deformable parts" in the deformable parts model?
ECCV'12 Proceedings of the 12th international conference on Computer Vision - Volume Part III
Adaptive object detection by implicit sub-class sharing features
Signal Processing
Object class detection: A survey
ACM Computing Surveys (CSUR)
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A wide range of methods have been proposed to detect and recognize objects. However, effective and efficient multiviewpoint detection of objects is still in its infancy, since most current approaches can only handle single viewpoints or aspects. This paper proposes a general approach for multiaspect detection of objects. As the running example for detection we use pedestrians, which add another difficulty to the problem, namely human body articulations. Global appearance changes caused by different articulations and viewpoints of pedestrians are handled in a unified manner by a generalization of the Implicit Shape Model [5]. An important property of this new approach is to share local appearance across different articulations and viewpoints, therefore requiring relatively few training samples. The effectiveness of the approach is shown and compared to previous approaches on two datasets containing pedestrians with different articulations and from multiple viewpoints.