Park, MW and Brilakis, I (2012) Construction Worker Detection in Video Frames for Initializing Vision Trackers. Journal of Automation in Construction, 28. pp. 15-25.Full text not available from this repository.
Monitoring the location of resources on large scale, congested, outdoor sites can be performed more efficiently with vision tracking, as this approach does not require any pre-tagging of resources. However, the greatest impediment to the use of vision tracking in this case is the lack of detection methods that are needed to automatically mark the resources of interest and initiate the tracking. This paper presents such a novel method for construction worker detection that localizes construction workers in video frames. The proposed method exploits motion, shape, and color cues to narrow down the detection regions to moving objects, people, and finally construction workers, respectively. The three cues are characterized by using background subtraction, the histogram of oriented gradients (HOG), and the HSV color histogram. The method has been tested on videos taken in various environments. The results demonstrate its suitability for automatic initialization of vision trackers.
|Uncontrolled Keywords:||Pattern recognition Construction worker Detection Tracking Remote sensing Image processing Computer vision|
|Divisions:||Div D > Construction Engineering|
|Depositing User:||Unnamed user with email firstname.lastname@example.org|
|Date Deposited:||15 Dec 2015 12:57|
|Last Modified:||10 Feb 2016 00:07|