Visual analysis of trash bin processing on garbage trucks in low resolution video

Oliver Sidla; Gernot Loibner

doi:10.1117/12.2076730

4 March 2015 Visual analysis of trash bin processing on garbage trucks in low resolution video

Oliver Sidla, Gernot Loibner

Proceedings Volume 9407, Video Surveillance and Transportation Imaging Applications 2015; 94070U (2015) https://doi.org/10.1117/12.2076730
Event: SPIE/IS&T Electronic Imaging, 2015, San Francisco, California, United States

Abstract

We present a system for trash can detection and counting from a camera which is mounted on a garbage collection truck. A working prototype has been successfully implemented and tested with several hours of real-world video. The detection pipeline consists of HOG detectors for two trash can sizes, and meanshift tracking and low level image processing for the analysis of the garbage disposal process. Considering the harsh environment and unfavorable imaging conditions, the process works already good enough so that very useful measurements from video data can be extracted. The false positive/false negative rate of the full processing pipeline is about 5-6% at fully automatic operation. Video data of a full day (about 8 hrs) can be processed in about 30 minutes on a standard PC.

Citation Download Citation

Oliver Sidla and Gernot Loibner "Visual analysis of trash bin processing on garbage trucks in low resolution video", Proc. SPIE 9407, Video Surveillance and Transportation Imaging Applications 2015, 94070U (4 March 2015); https://doi.org/10.1117/12.2076730

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