A novel detection approach using bio-inspired vision for
enhanced object tracking in video
Abstract:
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.
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