Efficient Pig Counting in Crowds with Keypoints Tracking and Spatial-aware Temporal Response Filtering

05/27/2020
by   Guang Chen, et al.
21

Pig counting is a crucial task for large-scale pig farming, which is usually completed by human visually. But this process is very time-consuming and error-prone. Few studies in literature developed automated pig counting method. Existing methods only focused on pig counting using single image, and its accuracy is challenged by several factors, including pig movements, occlusion and overlapping. Especially, the field of view of a single image is very limited, and could not meet the requirements of pig counting for large pig grouping houses. To that end, we presented a real-time automated pig counting system in crowds using only one monocular fisheye camera with an inspection robot. Our system showed that it produces accurate results surpassing human. Our pipeline began with a novel bottom-up pig detection algorithm to avoid false negatives due to overlapping, occlusion and deformation of pigs. A deep convolution neural network (CNN) is designed to detect keypoints of pig body part and associate the keypoints to identify individual pigs. After that, an efficient on-line tracking method is used to associate pigs across video frames. Finally, a novel spatial-aware temporal response filtering (STRF) method is proposed to predict the counts of pigs, which is effective to suppress false positives caused by pig or camera movements or tracking failures. The whole pipeline has been deployed in an edge computing device, and demonstrated the effectiveness.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
11/04/2018

Monocular Camera Based Fruit Counting and Mapping with Semantic Data Association

We present a cheap, lightweight, and fast fruit counting pipeline that u...
research
03/26/2020

Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting

Precise in-season corn grain yield estimates enable farmers to make real...
research
04/01/2018

Robust Fruit Counting: Combining Deep Learning, Tracking, and Structure from Motion

We present a novel fruit counting pipeline that combines deep segmentati...
research
05/30/2019

Counting and Segmenting Sorghum Heads

Phenotyping is the process of measuring an organism's observable traits....
research
08/05/2020

A Robot that Counts Like a Child – a Developmental Model of Counting and Pointing

In this paper, a novel neuro-robotics model capable of counting real ite...
research
11/21/2022

Improved Touchless Respiratory Rate Sensing

Recently, remote respiratory rate measurement techniques gained much att...

Please sign up or login with your details

Forgot password? Click here to reset