ICCV '03 Proceedings of the Ninth IEEE International Conference on Computer Vision - Volume 2
Recognizing Human Actions: A Local SVM Approach
ICPR '04 Proceedings of the Pattern Recognition, 17th International Conference on (ICPR'04) Volume 3 - Volume 03
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Early versus late fusion in semantic video analysis
Proceedings of the 13th annual ACM international conference on Multimedia
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories
CVPR '06 Proceedings of the 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Volume 2
Fall Detection from Human Shape and Motion History Using Video Surveillance
AINAW '07 Proceedings of the 21st International Conference on Advanced Information Networking and Applications Workshops - Volume 02
Behavior recognition via sparse spatio-temporal features
ICCCN '05 Proceedings of the 14th International Conference on Computer Communications and Networks
Aging in place: fall detection and localization in a distributed smart camera network
Proceedings of the 15th international conference on Multimedia
Compressed-domain Fall Incident Detection for Intelligent Homecare
Journal of VLSI Signal Processing Systems
An Efficient Dense and Scale-Invariant Spatio-Temporal Interest Point Detector
ECCV '08 Proceedings of the 10th European Conference on Computer Vision: Part II
Local descriptors for spatio-temporal recognition
SCVMA'04 Proceedings of the First international conference on Spatial Coherence for Visual Motion Analysis
Double fusion for multimedia event detection
MMM'12 Proceedings of the 18th international conference on Advances in Multimedia Modeling
Cross-view action recognition via view knowledge transfer
CVPR '11 Proceedings of the 2011 IEEE Conference on Computer Vision and Pattern Recognition
A Real-Time, Multiview Fall Detection System: A LHMM-Based Approach
IEEE Transactions on Circuits and Systems for Video Technology
Action recognition by exploring data distribution and feature correlation
CVPR '12 Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
HMDB: A large video database for human motion recognition
ICCV '11 Proceedings of the 2011 International Conference on Computer Vision
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This paper presents our study on fall detection for ageing care monitoring. We collected a choreographed multi-camera dataset that contains fall actions and other actions such as walking, standing up, sitting down and so forth. In our work, MoSIFT feature is extracted from the videos recorded by each camera. We conduct a series of experiments to show the performance variations of fall detection when different methods are used. We first compare the performance of the standard Bag-of-Words and spatial Bag-of-Words with different codebook sizes. Then, we test different fusion methods which combines the information from the videos recorded by two orthogonally deployed cameras, where a non-linear χ2 kernel Support Vector Machine (SVM) is trained to detect fall actions. In addition, we also use explicit feature maps along with linear kernel for fall detection and compare it to the standard bag of word representation with a non-linear χ2 kernel. Our experiment results show that late fusion of Bag-of-Words with a 1000 centers codebook obtains the best performance. The best result reaches 90.46% in average precision, which in turn may provide a more independent and safer living environment for the elderly.