Object recognition and segmentation in videos by connecting heterogeneous visual features
Computer Vision and Image Understanding
The Many Facets of Progressive Retrieval for CBIR
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Learning Visual Object Categories with Global Descriptors and Local Features
EPIA '09 Proceedings of the 14th Portuguese Conference on Artificial Intelligence: Progress in Artificial Intelligence
Obstacle Categorization Based on Hybridizing Global and Local Features
ICONIP '09 Proceedings of the 16th International Conference on Neural Information Processing: Part II
Towards a robust vision-based obstacle perception with classifier fusion in cybercars
EUROCAST'07 Proceedings of the 11th international conference on Computer aided systems theory
The relative potential field as a novel physics-inspired method for image analysis
WSEAS Transactions on Computers
Research and applications on georeferenced multimedia: a survey
Multimedia Tools and Applications
ICCOMP'10 Proceedings of the 14th WSEAS international conference on Computers: part of the 14th WSEAS CSCC multiconference - Volume II
Using topic concepts for semantic video shots classification
CIVR'06 Proceedings of the 5th international conference on Image and Video Retrieval
A harris-like scale invariant feature detector
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Development of visualizing earphone and hearing glasses for human augmented cognition
ICONIP'11 Proceedings of the 18th international conference on Neural Information Processing - Volume Part II
Local 3d symmetry for visual saliency in 2.5d point clouds
ACCV'12 Proceedings of the 11th Asian conference on Computer Vision - Volume Part I
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Pedestrian detection is a challenging vision task, especially applied to the automotive field where the background changes as the vehicle moves. This paper presents an extensive study upon human body models and the techniques suitable for being used ...