A Cattle Face Detection Method Based on Improved NMS

doi:10.3969/j.issn.1006-2475.2019.07.008

Abstract

Abstract: A cattle face detection method based on improved Faster R-CNN is proposed for multi-face detection of livestock cattle identity authentication. Inception v2 is used to replace ZF network as the basic network of Faster R-CNN, which improves the model accuracy significantly. The NMS (Non-Maximum Suppression) is optimized for the multi-cattle detection scenario, so that the recall rate of the model is significantly improved. Comparing with other detection models, the improved model is superior to others in accuracy and recall.

Key words: Faster R-CNN, Inception v2, NMS, object detection

CLC Number:

TP391.41

GOU Xian-tai, HUANG Wei, LIU Qi-fen. A Cattle Face Detection Method Based on Improved NMS[J]. Computer and Modernization, doi: 10.3969/j.issn.1006-2475.2019.07.008.

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