DETECTING EVENTS IN VIDEO SURVEILLANCE SYSTEM
| Main Author: | S.Sivasubramaniam , Dr.M.Ramanan |
|---|---|
| Format: | Article eJournal |
| Terbitan: |
, 2020
|
| Subjects: | |
| Online Access: |
https://zenodo.org/record/3600020 |
Daftar Isi:
- Multimedia systems utilize multiple media streams, each of which has different confidence levels in accomplishing various detection tasks. For example, in a multimedia surveillance system, one would usually have higher confidence in an audio stream compared to a video stream for detecting human shouting events. The pre-computation of these confidence levels is cumbersome especially when new media streams are dynamically added to the system. This paper proposes a novel method, which dynamically computes the confidence levels of new streams based on the past history of their agreement/disagreement with the already trusted streams. To demonstrate the utility of the proposed method, we provide the experimental results for detecting events in a multimedia surveillance scenario.