Matching Construction Workers across Views for Automated 3D Vision Tracking On-Site

On-site 3d Vision Tracking of Construction Personnel

Open construction sites are highly complex environments for onsite tracking. The large amount of items present along with the amounts of occlusions/obstructions, make efficient onsite personnel tracking very difficult. Current tracking methods rely mostly on Radio Frequency technologies, such as Radio Frequency Identification (RFID), Global Positioning Systems (GPS), Bluetooth and Wireless Fide...

Automated 3D vision-based tracking of construction entities

Automatic line matching across views

This paper presents a new method for matching individual line segments between images. The method uses both greylevel information and the multiple view geometric relations between the images. For image pairs epipolar geometry facilitates the computation of a cross-correlation based matching score for putative line correspondences. For image triplets cross-correlation matching scores are used in...

Reliable Feature Matching across Widely Separated Views

In this paper we present a robust method for automatically matching features in images corresponding to the same physical point on an object seen from two arbitrary viewpoints. Unlike conventional stereo matching approaches we assume no prior knowledge about the relative camera positions and orientations. In fact in our application this is the information we wish to determine from the image fea...

Tracking Across Multiple Cameras With Disjoint Views

Conventional tracking approaches assume proximity in space, time and appearance of objects in successive observations. However, observations of objects are often widely separated in time and space when viewed from multiple non-overlapping cameras. To address this problem, we present a novel approach for establishing object correspondence across non-overlapping cameras. Our multi-camera tracking...