Title
A biprocessor-oriented vision-based target tracking system
Abstract
The design and realization of a vision-based target tracking system is proposed. The objective is to derive the orientation of a pan-tilt camera fitting a drone in order to track a target and to maintain its position in the middle of the image. Image data and drone attitude are the only information available for the camera control to be achieved correctly. This embedded system requires low-cost hardware for surveillance or attack drone applications: a digital signal processor for the image processing, and a microcontroller for the camera control. To ensure real-time video operation, an algorithmic solution integrating a successive-step and multi-block search method is implemented, thus allowing complex target displacements. The microcontroller uses this information to manage the camera orientation. Experiments have been conducted in real, conditions and acceptable target tracking results have been obtained on the prototype hardware.
Year
DOI
Venue
2002
10.1109/41.993283
IEEE Transactions on Industrial Electronics
Keywords
Field
DocType
attitude control,digital signal processing chips,microcontrollers,mobile robots,position control,robot vision,target tracking,video cameras,video signal processing,algorithmic solution,attack drone,biprocessor-oriented vision-based target tracking system,camera orientation control,complex target displacements,design,digital signal processor,drone attitude,image data,image processing,low-cost hardware,microcontroller,pan-tilt camera fitting,real-time video operation,successive-step multi-block search method,surveillance drone
Computer vision,Computer science,Digital signal processor,Smart camera,Tracking system,Image processing,Attitude control,Artificial intelligence,Drone,Microcontroller,Control system
Journal
Volume
Issue
ISSN
49
2
0278-0046
Citations 
PageRank 
References 
15
1.04
17
Authors
4
Name
Order
Citations
PageRank
R Canals1202.23
Roussel, A.2151.04
Famechon, J.-L.3151.04
Treuillet, S.4151.04