Title :
Low power multiple object tracking and counting using a SCAMP cellular processor array
Author :
Barr, David R. W. ; Carey, S.J. ; Dudek, Piotr
Author_Institution :
Sch. of Electr. & Electron. Eng., Univ. of Manchester, Manchester, UK
Abstract :
A low-power demonstration system using a SCAMP-3 vision chip to track and count multiple objects with unpredictable trajectories is presented. The system can track as many discrete objects that can fit into its visual field. The compact, self-contained hardware consists of a battery, an ARM Cortex-M3 coprocessor, and the sensor/processor array device. The tracking algorithm is performed entirely by the processor array and the complete system draws 7.3mA during operation.
Keywords :
cellular arrays; computer vision; coprocessors; image motion analysis; low-power electronics; object tracking; ARM Cortex-M3 coprocessor; SCAMP cellular processor array; SCAMP-3 vision chip; battery; compact self-contained hardware; discrete objects; low power multiple object tracking; low-power demonstration system; object counting; sensor-processor array device; tracking algorithm; unpredictable trajectory; Arrays; History; Image processing; Robot sensing systems; Tracking; Visualization; Multiple Object Tracking; Processor Array; SIMD; Smart Sensors; Vision Chip;
Conference_Titel :
Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on
Conference_Location :
Turin
Print_ISBN :
978-1-4673-0287-6
DOI :
10.1109/CNNA.2012.6331467