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

fYear

2012

fDate

29-31 Aug. 2012

Firstpage

1

Lastpage

2

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Cellular Nanoscale Networks and Their Applications (CNNA), 2012 13th International Workshop on

Conference_Location

Turin

ISSN

2165-0160

Print_ISBN

978-1-4673-0287-6

Type

conf

DOI

10.1109/CNNA.2012.6331467

Filename

6331467