Asset Details
Do you wish to reserve the book?
High-speed visual target tracking with mixed rotation invariant description and skipping searching
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
High-speed visual target tracking with mixed rotation invariant description and skipping searching
Do you wish to request the book?
High-speed visual target tracking with mixed rotation invariant description and skipping searching
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
High-speed visual target tracking with mixed rotation invariant description and skipping searching
2017
Overview
This paper proposes a novel high-speed visual target tracking system based on mixed rotation invariant description（MRID） and skipping searching method. MRID is a novel rotation invariant description of texture and edge information by annular histograms and dominant direction. It overcomes rotation variant and large computation issues in conventional LBP-HOG feature description. The skipping searching method used in tracking can remarkably decrease the computation time by avoiding repeated searching operations.The proposed tracking system contains an image sensor, a hierarchical vision processor and an actuator with2 dimensions of freedom（DOF）. The vision processor integrates processors with pixel-and row-level parallelism to speed up the tracking algorithm. Experiment results show that the proposed system can achieve over 1000-fps processing speed of the tracking algorithm under 750 × 480 resolution image.
