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Computing a rodent’s diary
- Source :
- Signal, Image and Video Processing. 10:567-574
- Publication Year :
- 2015
- Publisher :
- Springer Science and Business Media LLC, 2015.
-
Abstract
- Rodent monitoring in biomedical laboratories is a time consuming and tedious task. Several automatic solutions that rely on different types of sensors have been proposed. Computer vision provides a significantly more universal and less intrusive solution. In this article we propose a new method to detect and classify three behaviors in rodents: exploring, rearing, and static. The method uses motion history images and a multiple classifier system to detect the three behaviors under typical laboratory conditions. It is independent of the color of the rodent and of the background. The method performs equally well on short and long video sequences, achieving a success rate of 87 %.
- Subjects :
- business.industry
Computer science
Motion History Images
Video sequence
02 engineering and technology
Machine learning
computer.software_genre
Multiple classifier
Task (project management)
Support vector machine
03 medical and health sciences
0302 clinical medicine
Signal Processing
0202 electrical engineering, electronic engineering, information engineering
020201 artificial intelligence & image processing
Multimedia information systems
Computer vision
Artificial intelligence
Electrical and Electronic Engineering
business
computer
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 18631711 and 18631703
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- Signal, Image and Video Processing
- Accession number :
- edsair.doi...........5aa90632937415316460a5a55c1b8f9c