Abstract
Video surveillance system captures continuous video for the purpose of security, monitoring, investigating and so on. It requires huge memory space to store as well as enormous time to retrieve important information manually from this high volume of videos. In this paper, we propose a novel video summarization scheme using moving object information by considering area of moving objects extracted from dynamic background modeling and frame-to-frame object motion. Through this scheme we rank all frames according to the importance of being key frame by combining moving object features through a fusion method so that users can select desired length of videos for summary. The experimental results show that the proposed method provides better video summary compared to the state-of-the-art method using a publicly available benchmark BL-7F video surveillance datasets.
Original language | English |
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Title of host publication | Proceedings of the 18th International Conference on Computer and Information Technology |
Subtitle of host publication | ICCIT 2015 |
Place of Publication | United States |
Publisher | IEEE, Institute of Electrical and Electronics Engineers |
Pages | 237-242 |
Number of pages | 6 |
ISBN (Electronic) | 9781467399302 |
DOIs | |
Publication status | Published - 2015 |
Event | 18th International Conference on Computer and Information Technology: ICCIT 2015 - Military Institute of Science and Technology (MIST), Dhaka, Bangladesh Duration: 21 Dec 2015 → 23 Dec 2015 |
Conference
Conference | 18th International Conference on Computer and Information Technology |
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Country/Territory | Bangladesh |
City | Dhaka |
Period | 21/12/15 → 23/12/15 |