Depth space partitioning for omni-stereo object tracking

  title={Depth space partitioning for omni-stereo object tracking},
  author={Z. Xiong and Irene Cheng and Wei Chen and Aryabrata Basu and M. Zhang},
Using stereo disparity or depth information to detect and track moving objects is receiving increasing attention in recent years. However, this approach suffers from some difficulties, such as synchronisation between two cameras and doubling of the image-data size. Besides, traditional stereo-imaging systems have a limited field of view (FOV), which means that they need to rotate the cameras when an object moves out of view. In this research, the authors present a depth-space partitioning… CONTINUE READING