Original paper
Adaptive Detector and Tracker on Construction Sites Using Functional Integration and Online Learning
Abstract
Tracking construction equipment is a major task when monitoring work in progress and performance on construction sites. Real-time location data of heavy equipment can be used not only to prevent collision accidents but also to predict work types and idle time. Many researchers have investigated the two-dimensional (2D) tracking of construction equipment from images. However, this method still frequently fails to track construction equipment in...
Paper Details
Title
Adaptive Detector and Tracker on Construction Sites Using Functional Integration and Online Learning
Published Date
Mar 24, 2017
Volume
31
Issue
5