Abstract
This paper presents a bio-inspired method for introducing an adequate multi-camera topology aiming to maximize the coverage of the available space for sufficient crowd analysis. More specifically, a twofold bio-inspired approach is proposed, taking into advantage the emergent computation that arrives from swarms able to find solutions to complex mathematical problems which keep computers busy for days. In the proposed approach, artificial bumblebees are used to determine the number of requested cameras needed to maximize the coverage of an available space subject under the safety specifications dictated by the crowd analysis application, while artificial spiders following the way they wave their webs indicate the exact positions of the aforementioned cameras in the under study crowd environment. Experimental results show that the algorithm is capable of producing promising results where 95% coverage of the given room is possible
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 1st International Workshop on Pattern Recognition and Crowd Analysis (PRCA '12) |
| Number of pages | 6 |
| Publication date | 5 Oct 2012 |
| Publication status | Published - 5 Oct 2012 |
| Externally published | Yes |
Keywords
- bee colony
- bio-inspired
- crowd analysis
- multi-camera systems