Park, MW and Brilakis, I (2012) Enhancement of Construction Equipment Detection in Video Frames by Combining with Tracking. In: ASCE International Workshop on Computing in Civil Engineering, 17-6-2012 to 20-6-2012, Clearwater Beach, FL, United States of America pp. 421-428..Full text not available from this repository.
Vision-based object detection has been introduced in construction for recognizing and locating construction entities in on-site camera views. It can provide spatial locations of a large number of entities, which is beneficial in large-scale, congested construction sites. However, even a few false detections prevent its practical applications. In resolving this issue, this paper presents a novel hybrid method for locating construction equipment that fuses the function of detection and tracking algorithms. This method detects construction equipment in the video view by taking advantage of entities' motion, shape, and color distribution. Background subtraction, Haar-like features, and eigen-images are used for motion, shape, and color information, respectively. A tracking algorithm steps in the process to make up for the false detections. False detections are identified by catching drastic changes in object size and appearance. The identified false detections are replaced with tracking results. Preliminary experiments show that the combination with tracking has the potential to enhance the detection performance.
|Item Type:||Conference or Workshop Item (UNSPECIFIED)|
|Depositing User:||Cron Job|
|Date Deposited:||26 Aug 2012 16:10|
|Last Modified:||04 Feb 2013 01:54|
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