Detecting Tower Cranes in Images
Hai Ming Yin · Applied Mechanics and Materials · 2013
In this paper, we present a new detection algorithm for tower crane. First the objects are segmented by an improved J-SEG algorithm, and then the geometric characteristics and luminance information are used to identify the tower crane objects. Experimental results indicate our algorithm can deal with most of the tower crane images, and it is suitable for the track object initialization in the video surveillance.