A Robust Competitive Clustering Algorithm With Applications in Computer Vision
IEEE Transactions on Pattern Analysis and Machine Intelligence
Detecting Faces in Images: A Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Class-Specific, Top-Down Segmentation
ECCV '02 Proceedings of the 7th European Conference on Computer Vision-Part II
A Comparison of Shape Retrieval Using Fourier Descriptors and Short-Time Fourier Descriptors
PCM '01 Proceedings of the Second IEEE Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Towards unconstrained face recognition from image sequences
FG '96 Proceedings of the 2nd International Conference on Automatic Face and Gesture Recognition (FG '96)
Selection of Scale-Invariant Parts for Object Class Recognition
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognition with Local Features: the Kernel Recipe
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Video Google: A Text Retrieval Approach to Object Matching in Videos
ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Probabilistic recognition of human faces from video
Computer Vision and Image Understanding - Special issue on Face recognition
Distinctive Image Features from Scale-Invariant Keypoints
International Journal of Computer Vision
Learning to Detect Objects in Images via a Sparse, Part-Based Representation
IEEE Transactions on Pattern Analysis and Machine Intelligence
A SIFT Descriptor with Global Context
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 1 - Volume 01
Fast Spatial Pattern Discovery Integrating Boosting with Constellations of Contextual Descriptors
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Volume 2 - Volume 02
A Performance Evaluation of Local Descriptors
IEEE Transactions on Pattern Analysis and Machine Intelligence
Discovering Objects and their Localization in Images
ICCV '05 Proceedings of the Tenth IEEE International Conference on Computer Vision (ICCV'05) Volume 1 - Volume 01
Visual tracking and recognition using probabilistic appearance manifolds
Computer Vision and Image Understanding
Combining Local and Global Image Features for Object Class Recognition
CVPR '05 Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05) - Workshops - Volume 03
Generic Object Recognition with Boosting
IEEE Transactions on Pattern Analysis and Machine Intelligence
Simultaneous Object Recognition and Segmentation from Single or Multiple Model Views
International Journal of Computer Vision
Learning-Based License Plate Detection Using Global and Local Features
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 02
Local Behaviours Labelling for Content Based Video Copy Detection
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 03
Object localization/segmentation using generic shape priors
ICPR '06 Proceedings of the 18th International Conference on Pattern Recognition - Volume 04
The use of attention and spatial information for rapid facial recognition in video
Image and Vision Computing
Scale-invariant shape features for recognition of object categories
CVPR'04 Proceedings of the 2004 IEEE computer society conference on Computer vision and pattern recognition
Person recognition using human head motion information
AMDO'06 Proceedings of the 4th international conference on Articulated Motion and Deformable Objects
Person spotting: video shot retrieval for face sets
CIVR'05 Proceedings of the 4th international conference on Image and Video Retrieval
ACCV'06 Proceedings of the 7th Asian conference on Computer Vision - Volume Part I
Labeling complementary local descriptors behavior for video copy detection
MRCS'06 Proceedings of the 2006 international conference on Multimedia Content Representation, Classification and Security
A generic approach to simultaneous tracking and verification in video
IEEE Transactions on Image Processing
Journal of Real-Time Image Processing
Object recognition using discriminative parts
Computer Vision and Image Understanding
A critical review of selective attention: an interdisciplinary perspective
Artificial Intelligence Review
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We present an approach for model-free and instance-level object recognition and segmentation in cluttered scenes, based on heterogeneous visual features. The first contribution of this work addresses the description of the visual appearance of objects, by proposing the joint use of complementary features of different natures: on the one hand, a set of local descriptors based on interest points that have well-known interesting properties; on the other hand, a global descriptor based on a snake, providing a high-level description of the object shape. Our second contribution consists in efficiently structuring and connecting the visual features obtained, making possible the use of global descriptors without prior segmentation/detection. Our approach is compared to a classic one based on local descriptors only and is evaluated for video surveillance purposes over sequences involving 20 objects. We show that recognition is improved, and provides precise object segmentation, even with large occlusions. A real scenario of application to video surveillance of truck traffic validates the relevance of the approach.