Hardware aspects of a real-time surveillance system
(2006) Sixth IEEE International Workshop on Visual Surveillance (VS 2006) p.161-168- Abstract
- This paper presents the implementation of an automated digital video surveillance system on an FPGA platformfor real-time performance. To achieve real-time performance, the system includes hardware accelerators for video segmentation, morphology operations, labeling and feature extraction while tracking is handled in software. By implementing a complete system on a hardware platform, bottlenecks in computational complexity and memory requirements can be identified and addressed. A memory access reduction scheme for the video segmentation part that utilizes pixel locality is proposed which shows the potential of reducing accesses with > 60%. Furthermore, a low complexity morphology architecture with low memory requirements is presented... (More)
- This paper presents the implementation of an automated digital video surveillance system on an FPGA platformfor real-time performance. To achieve real-time performance, the system includes hardware accelerators for video segmentation, morphology operations, labeling and feature extraction while tracking is handled in software. By implementing a complete system on a hardware platform, bottlenecks in computational complexity and memory requirements can be identified and addressed. A memory access reduction scheme for the video segmentation part that utilizes pixel locality is proposed which shows the potential of reducing accesses with > 60%. Furthermore, a low complexity morphology architecture with low memory requirements is presented together with a labeling unit based on a contour tracing technique. Some thoughts on which features that can be extracted throughout the system are discussed. (Less)
Please use this url to cite or link to this publication:
https://lup.lub.lu.se/record/602955
- author
- Kristensen, Fredrik LU ; Hedberg, Hugo LU ; Jiang, Hongtu LU ; Nilsson, Peter LU and Öwall, Viktor LU
- organization
- publishing date
- 2006
- type
- Chapter in Book/Report/Conference proceeding
- publication status
- published
- subject
- host publication
- [Host publication title missing]
- pages
- 161 - 168
- publisher
- IEEE - Institute of Electrical and Electronics Engineers Inc.
- conference name
- Sixth IEEE International Workshop on Visual Surveillance (VS 2006)
- conference location
- Graz, Austria
- conference dates
- 2006-05-13
- ISBN
- 978-0-9553003-0-1
- language
- English
- LU publication?
- yes
- id
- d52c1f8d-a11d-4276-8681-b86aa0ed471a (old id 602955)
- date added to LUP
- 2016-04-04 11:26:22
- date last changed
- 2018-11-21 21:04:52
@inproceedings{d52c1f8d-a11d-4276-8681-b86aa0ed471a, abstract = {{This paper presents the implementation of an automated digital video surveillance system on an FPGA platformfor real-time performance. To achieve real-time performance, the system includes hardware accelerators for video segmentation, morphology operations, labeling and feature extraction while tracking is handled in software. By implementing a complete system on a hardware platform, bottlenecks in computational complexity and memory requirements can be identified and addressed. A memory access reduction scheme for the video segmentation part that utilizes pixel locality is proposed which shows the potential of reducing accesses with > 60%. Furthermore, a low complexity morphology architecture with low memory requirements is presented together with a labeling unit based on a contour tracing technique. Some thoughts on which features that can be extracted throughout the system are discussed.}}, author = {{Kristensen, Fredrik and Hedberg, Hugo and Jiang, Hongtu and Nilsson, Peter and Öwall, Viktor}}, booktitle = {{[Host publication title missing]}}, isbn = {{978-0-9553003-0-1}}, language = {{eng}}, pages = {{161--168}}, publisher = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}}, title = {{Hardware aspects of a real-time surveillance system}}, year = {{2006}}, }