TY - GEN
T1 - A novel detection approach using bio-inspired vision for enhanced object tracking in video
AU - Dowley, James A.
AU - Dogancay, Kutluyil
AU - Brinkworth, Russell S.A.
PY - 2013
Y1 - 2013
N2 - Video surveillance systems play an important role in many civilian and military applications, for the purposes of security and surveillance. Object detection is an important component in a video surveillance system, used to identify possible objects of interest and to generate data for tracking and analysis purposes. A video surveillance system is presented here which incorporates a novel motion detection approach using a biologically inspired vision system, within a hardware solution, for enhanced object tracking performance. This method is compared with a traditional object detection approach. This initial investigation determined that the biological vision system is robust in detecting objects representative of actual ground truth values under various complex lighting conditions. The system has shown enhanced capability by reducing false track confirmation rates (at least one order of magnitude) and achieving high confirmation rates of objects of interest within independent video data sets. An effective tracking solution has been achieved through the implementation of the biologically-inspired vision system as an enhancement to object detection.
AB - Video surveillance systems play an important role in many civilian and military applications, for the purposes of security and surveillance. Object detection is an important component in a video surveillance system, used to identify possible objects of interest and to generate data for tracking and analysis purposes. A video surveillance system is presented here which incorporates a novel motion detection approach using a biologically inspired vision system, within a hardware solution, for enhanced object tracking performance. This method is compared with a traditional object detection approach. This initial investigation determined that the biological vision system is robust in detecting objects representative of actual ground truth values under various complex lighting conditions. The system has shown enhanced capability by reducing false track confirmation rates (at least one order of magnitude) and achieving high confirmation rates of objects of interest within independent video data sets. An effective tracking solution has been achieved through the implementation of the biologically-inspired vision system as an enhancement to object detection.
KW - Background subtraction
KW - Biologically-inspired vision system
KW - Motion detection
KW - Object-of-interest
UR - http://www.scopus.com/inward/record.url?scp=84881104884&partnerID=8YFLogxK
U2 - 10.1109/ISSNIP.2013.6529840
DO - 10.1109/ISSNIP.2013.6529840
M3 - Conference contribution
AN - SCOPUS:84881104884
SN - 9781467354998
SN - 1467354996
T3 - Proceedings of the 2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing: Sensing the Future, ISSNIP 2013
SP - 497
EP - 502
BT - 2013 IEEE Eighth International Conference on Intelligent Sensors, Sensor Networks and Information Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2013 IEEE 8th International Conference on Intelligent Sensors, Sensor Networks and Information Processing: Sensing the Future, ISSNIP 2013
Y2 - 2 April 2013 through 5 April 2013
ER -