Abstract
A motion pattern analysis method for abnormal movement detection is introduced. It analyses motion patterns and detects abnormal movement using partial trajectories, which can be obtained in crowded scenes and are more effective than local motion. In addition, the proposed method is able to deal with noisy data, which is a major cause of false alarms. The experimental results from real-world traffic scene datasets show that the proposed method improves on previous, local motion-based methods.
Original language | English |
---|---|
Pages (from-to) | 186-187 |
Number of pages | 2 |
Journal | Electronics Letters |
Volume | 49 |
Issue number | 3 |
DOIs | |
Publication status | Published - 2013 Jan 31 |
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering