Detecting Tower Cranes in Images

Hai Ming Yin

doi:10.4028/www.scientific.net/AMM.433-435.353

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 433-435Detecting Tower Cranes in Images

Detecting Tower Cranes in Images

Abstract:

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.

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Periodical:

Applied Mechanics and Materials (Volumes 433-435)

Pages:

353-357

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.433-435.353

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Online since:

October 2013

Authors:

Hai Ming Yin

Keywords:

Image Segmentation, Image-Based, Tower Crane Detection

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