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A probabilistic representation of LiDAR range data for efficient 3D object detection
Found in: Computer Vision and Pattern Recognition Workshop
By Theodore C. Yapo, Charles V. Stewart, Richard J. Radke
Issue Date:June 2008
pp. 1-8
We present a novel approach to 3D object detection in scenes scanned by LiDAR sensors, based on a probabilistic representation of free, occupied, and hidden space that extends the concept of occupancy grids from robot mapping algorithms. This scene represe...
Detecting multiple moving objects in crowded environments with coherent motion regions
Found in: Computer Vision and Pattern Recognition Workshop
By Anil M. Cheriyadat, Budhendra L. Bhaduri, Richard J. Radke
Issue Date:June 2008
pp. 1-8
We propose an object detection system that uses the locations of tracked low-level feature points as input, and produces a set of independent coherent motion regions as output. As an object moves, tracked feature points on it span a coherent 3D region in t...
Registration of Multiple Range Scans as a Location Recognition Problem: Hypothesis Generation, Refinement and Verification
Found in: 3D Digital Imaging and Modeling, International Conference on
By Bradford J. King, Tomasz Malisiewicz, Charles V. Stewart, Richard J. Radke
Issue Date:June 2005
pp. 180-187
<p>This paper addresses the following version of the multiple range scan registration problem. A scanner with an associated intensity camera is placed at a series of locations throughout a large environment; scans are acquired at each location. The p...
Keeping a Pan-Tilt-Zoom Camera Calibrated
Found in: IEEE Transactions on Pattern Analysis and Machine Intelligence
By Ziyan Wu,Richard J. Radke
Issue Date:August 2013
pp. 1994-2007
Pan-tilt-zoom (PTZ) cameras are pervasive in modern surveillance systems. However, we demonstrate that the (pan, tilt) coordinates reported by PTZ cameras become inaccurate after many hours of operation, endangering tracking and 3D localization algorithms ...
Distributed metric calibration of ad hoc camera networks
Found in: ACM Transactions on Sensor Networks (TOSN)
By Dhanya Devarajan, Haeyong Chung, Richard J. Radke
Issue Date:August 2006
pp. 380-403
We discuss how to automatically obtain the metric calibration of an ad hoc network of cameras with no centralized processor. We model the set of uncalibrated cameras as nodes in a communication network, and propose a distributed algorithm in which each cam...