JOURNAL ARTICLE

High-speed object tracking across multiple networked cameras

Abstract

This paper presents a networked vision system for tracking objects moving across multiple camera views at high speed. Frame acquisition in each camera is triggered by a personal computer (PC), which also computes the target position and sends data to another PC via an Ethernet link. The data includes the tracked target position and the timestamp when the frame acquisition was triggered. The timescale on which the timestamps are based is precisely synchronized between the PCs by using the precision time protocol (PTP). Therefore, locally acquired data in each PC and data received via Ethernet can be precisely aligned in time. A 5 mm-diameter object moving across two cameras at 4000 mm/s at a distance of 300 mm from the cameras was successfully tracked by the system with an average frame rate of more than 720 frames-per-second.

Keywords:
Timestamp Computer science Computer vision Frame rate Frame (networking) Artificial intelligence Ethernet Tracking (education) Video tracking Position (finance) Object (grammar) Data acquisition Tracking system Real-time computing Computer graphics (images) Computer hardware Filter (signal processing) Computer network

Metrics

4
Cited By
0.62
FWCI (Field Weighted Citation Impact)
5
Refs
0.74
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Optical Wireless Communication Technologies
Physical Sciences →  Engineering →  Electrical and Electronic Engineering
Energy Efficient Wireless Sensor Networks
Physical Sciences →  Computer Science →  Computer Networks and Communications
IoT and Edge/Fog Computing
Physical Sciences →  Computer Science →  Computer Networks and Communications
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