TY - GEN
T1 - Automated real-time video surveillance algorithms for SoC implementation
T2 - 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
AU - Salahat, Ehab
AU - Saleh, Hani
AU - Mohammad, Baker
AU - Al-Qutayri, Mahmoud
AU - Sluzek, Andrzej
AU - Ismail, Mohammad
PY - 2013
Y1 - 2013
N2 - Numerous techniques and algorithms have been developed and implemented, primarily in software, for object tracking, detection and recognition. A few attempts have been made to implement some of the algorithms in hardware. However, those attempts have not yielded optimal results in terms of accuracy, power and memory requirements. The aim of this paper is to explore and investigate a number of possible algorithms for real-time video surveillance, revealing their various theories, relationships, shortcomings, advantages and disadvantages, and pointing out their unsolved problems of practical interest in principled way, which would be of tremendous value to engineers and researchers trying to decide what algorithm among those many in literature is most suitable to specific application and the particular real-time System-on-Chip (SoC) implementation.
AB - Numerous techniques and algorithms have been developed and implemented, primarily in software, for object tracking, detection and recognition. A few attempts have been made to implement some of the algorithms in hardware. However, those attempts have not yielded optimal results in terms of accuracy, power and memory requirements. The aim of this paper is to explore and investigate a number of possible algorithms for real-time video surveillance, revealing their various theories, relationships, shortcomings, advantages and disadvantages, and pointing out their unsolved problems of practical interest in principled way, which would be of tremendous value to engineers and researchers trying to decide what algorithm among those many in literature is most suitable to specific application and the particular real-time System-on-Chip (SoC) implementation.
KW - Background Subtraction
KW - FPGA
KW - Maximally Stable Extremal Regions
KW - Real-Time Video Surveillance
KW - Scale-Invariant Feature Transform
KW - Speeded Up Robust Features
UR - http://www.scopus.com/inward/record.url?scp=84901423020&partnerID=8YFLogxK
U2 - 10.1109/ICECS.2013.6815354
DO - 10.1109/ICECS.2013.6815354
M3 - Conference contribution
AN - SCOPUS:84901423020
SN - 9781479924523
T3 - Proceedings of the IEEE International Conference on Electronics, Circuits, and Systems
SP - 82
EP - 83
BT - 2013 IEEE 20th International Conference on Electronics, Circuits, and Systems, ICECS 2013
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 8 December 2013 through 11 December 2013
ER -