Abstract
With a significant increment of the number of digital cameras used for various purposes, there is a demanding call for advanced video analysis techniques that can be used to systematically interpret and understand the semantics of video contents, which have been recorded in security surveillance, intelligent transportation, health care, video retrieving and summarization. Understanding and interpreting human behaviours based on video analysis have observed competitive challenges due to non-rigid human motion, self and mutual occlusions, and changes of lighting conditions. To solve these problems, advanced image and signal processing technologies such as neural network, fuzzy logic, probabilistic estimation theory and statistical learning have been overwhelmingly investigated.
| Original language | English |
|---|---|
| Pages (from-to) | 1-2 |
| Number of pages | 2 |
| Journal | Neurocomputing |
| Volume | 100 |
| Issue number | 1 |
| Early online date | 08 May 2012 |
| DOIs | |
| Publication status | Published - 16 Jan 2013 |
ASJC Scopus subject areas
- Cognitive Neuroscience
- Computer Science Applications
- Artificial Intelligence
Access to Document
- Behaviours in video
© 2013 Elsevier This manuscript version is made available under the CC-BY-NC-ND 4.0 licensehttp://creativecommons.org/licenses/by-nc-nd/4.0/,which permits distribution and reproduction for non-commercial purposes, provided the author and source are cited.