Back to Search
Start Over
Robust Recognition Algorithm for Fall Down Behavior
- Source :
- Biometric Recognition ISBN: 9783319979083, CCBR
- Publication Year :
- 2018
- Publisher :
- Springer International Publishing, 2018.
-
Abstract
- Detecting fall down behavior is a meaningful work in the area of public video surveillance and smart home care, as this behavior is often caused by accident but usually trigger serious result. However, the uncertain individual behavior, the difference between different cameras, and the complexity of real application scene make the work absolutely hard. In this paper, a robust fall down behavior recognition algorithm is proposed based on the spatial and temporal analysis of the Key Area of Human Body (KAHB). Firstly, a modified ViBe method is applied to extract motion area. Then a pre-trained human body classifier combined with histogram tracking is used to locate the KAHB and extract its normalized spatial and temporal features. Finally, a SVM classifier is employed to find the fall down behavior.
- Subjects :
- Computer science
business.industry
Pattern recognition
02 engineering and technology
Behavior recognition
Svm classifier
Smart surveillance
Home automation
020204 information systems
Histogram
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Artificial intelligence
Recognition algorithm
business
Classifier (UML)
Subjects
Details
- ISBN :
- 978-3-319-97908-3
- ISBNs :
- 9783319979083
- Database :
- OpenAIRE
- Journal :
- Biometric Recognition ISBN: 9783319979083, CCBR
- Accession number :
- edsair.doi...........170acac79c0dcb12480b896a0ba98ecc