Computer Vision for MultiSensory Structural Health Monitoring System
Remy Chang, Tarak Gandhi, Mohan Manubhai Trivedi · 2004
Abstract — This paper presents the use of multiple sensor modalities in order to perform traffic analysis for health monitoring of transportation infrastructure. In particular, testbeds containing video and seismic sensors giving complementary information about vehicles are described. Computer vision algorithms are used to detect and track the vehicles and extract their properties. This information is combined with the data from seismic sensors for robust classification of vehicles. Experimental results obtained with our testbeds are described. I. INTRODUCTION AND SYSTEM OVERVIEW The deterioration of the civil infrastructure in North America, Europe and Japan has been well documented and publicized. In the United States, 50 percent of all bridges were built before the 1940's and approximately 42 percent