Paper
14 December 2015 Object detection for vision-aided inventory counting
Yueming Qin, Yin Zhang
Author Affiliations +
Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 981524 (2015) https://doi.org/10.1117/12.2210735
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
An object detection for vision-aided inventory counting is developed. The propose approach is simple to use and reduce the workload remarkably. Meanwhile, the approach count the items of interest almost in real time with an acceptable precision, which is desirable in inventory counting. The experiment results show that the proposed approach is efficient to fulfill the counting task.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yueming Qin and Yin Zhang "Object detection for vision-aided inventory counting", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 981524 (14 December 2015); https://doi.org/10.1117/12.2210735
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KEYWORDS
Binary data

Detection and tracking algorithms

Image filtering

Sensors

Visualization

Facial recognition systems

Geographic information systems

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