Low power multiple object tracking and counting using a SCAMP cellular processor array

David R W Barr; Stephen J. Carey; Piotr Dudek

doi:10.1109/CNNA.2012.6331467

Low power multiple object tracking and counting using a SCAMP cellular processor array

David R W Barr, Stephen J. Carey, Piotr Dudek

Research output: Chapter in Book/Conference proceeding › Conference contribution › peer-review

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. © 2012 IEEE.

Original language	English
Title of host publication	International Workshop on Cellular Nanoscale Networks and their Applications\|Int. Workshop Cell. Nanoscale Netw. Appl.
DOIs	https://doi.org/10.1109/CNNA.2012.6331467
Publication status	Published - 2012
Event	2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012 - Turin Duration: 1 Jul 2012 → …

Conference

Conference	2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012
City	Turin
Period	1/07/12 → …

Keywords

Multiple Object Tracking
Processor Array
SIMD
Smart Sensors
Vision Chip

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10.1109/CNNA.2012.6331467

Cite this

@inproceedings{97a17eb43a43426a935403045fbb2117,

title = "Low power multiple object tracking and counting using a SCAMP cellular processor array",

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. {\textcopyright} 2012 IEEE.",

keywords = "Multiple Object Tracking, Processor Array, SIMD, Smart Sensors, Vision Chip",

author = "Barr, {David R W} and Carey, {Stephen J.} and Piotr Dudek",

year = "2012",

doi = "10.1109/CNNA.2012.6331467",

language = "English",

isbn = "9781467302890",

booktitle = "International Workshop on Cellular Nanoscale Networks and their Applications|Int. Workshop Cell. Nanoscale Netw. Appl.",

note = "2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012 ; Conference date: 01-07-2012",

}

Barr, DRW, Carey, SJ & Dudek, P 2012, Low power multiple object tracking and counting using a SCAMP cellular processor array. in International Workshop on Cellular Nanoscale Networks and their Applications|Int. Workshop Cell. Nanoscale Netw. Appl.. 2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012, Turin, 1/07/12. https://doi.org/10.1109/CNNA.2012.6331467

TY - GEN

T1 - Low power multiple object tracking and counting using a SCAMP cellular processor array

AU - Barr, David R W

AU - Carey, Stephen J.

AU - Dudek, Piotr

PY - 2012

Y1 - 2012

N2 - 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. © 2012 IEEE.

AB - 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. © 2012 IEEE.

KW - Multiple Object Tracking

KW - Processor Array

KW - SIMD

KW - Smart Sensors

KW - Vision Chip

U2 - 10.1109/CNNA.2012.6331467

DO - 10.1109/CNNA.2012.6331467

M3 - Conference contribution

SN - 9781467302890

BT - International Workshop on Cellular Nanoscale Networks and their Applications|Int. Workshop Cell. Nanoscale Netw. Appl.

T2 - 2012 13th International Workshop on Cellular Nanoscale Networks and their Applications, CNNA 2012

Y2 - 1 July 2012

ER -

Low power multiple object tracking and counting using a SCAMP cellular processor array

Abstract

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Keywords

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