iBet uBet web content aggregator. Adding the entire web to your favor.
iBet uBet web content aggregator. Adding the entire web to your favor.



Link to original content: https://doi.org/10.1093/ietisy/e91-d.7.1922
Robust Small-Object Detection for Outdoor Wide-Area Surveillance
IEICE Transactions on Information and Systems
Online ISSN : 1745-1361
Print ISSN : 0916-8532
Special Section on Machine Vision and its Applications
Robust Small-Object Detection for Outdoor Wide-Area Surveillance
Daisuke ABEEigo SEGAWAOsafumi NAKAYAMAMorito SHIOHARAShigeru SASAKINobuyuki SUGANOHajime KANNO
Author information
JOURNAL FREE ACCESS

2008 Volume E91.D Issue 7 Pages 1922-1928

Details
Abstract

In this paper, we present a robust small-object detection method, which we call “Frequency Pattern Emphasis Subtraction (FPES)”, for wide-area surveillance such as that of harbors, rivers, and plant premises. For achieving robust detection under changes in environmental conditions, such as illuminance level, weather, and camera vibration, our method distinguishes target objects from background and noise based on the differences in frequency components between them. The evaluation results demonstrate that our method detected more than 95% of target objects in the images of large surveillance areas ranging from 30-75 meters at their center.

Content from these authors
© 2008 The Institute of Electronics, Information and Communication Engineers
Previous article Next article
feedback
Top