2022
DOI: 10.4142/jvs.21252
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Object detection and tracking using a high-performance artificial intelligence-based 3D depth camera: towards early detection of African swine fever

Abstract: Background Inspection of livestock farms using surveillance cameras is emerging as a means of early detection of transboundary animal disease such as African swine fever (ASF). Object tracking, a developing technology derived from object detection aims to the consistent identification of individual objects in farms. Objectives This study was conducted as a preliminary investigation for practical application to livestock farms. With the use of a high-performance artifici… Show more

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Cited by 5 publications
(3 citation statements)
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“…A DCNN offers several advantages in breeding pig production, including high recognition rates, non-invasiveness, minimal animal stress response, and easy deployment. It enables real-time, efficient, and continuous detection, making it suitable for tasks such as individual recognition [4][5][6], pose detection [7][8][9], target tracking [10,11], and count statistics [12,13]. Previous studies have primarily focused on learning the image feature representation of breeding pigs, extracting features, and using image-based classification and object recognition for practical applications.…”
Section: Introductionmentioning
confidence: 99%
“…A DCNN offers several advantages in breeding pig production, including high recognition rates, non-invasiveness, minimal animal stress response, and easy deployment. It enables real-time, efficient, and continuous detection, making it suitable for tasks such as individual recognition [4][5][6], pose detection [7][8][9], target tracking [10,11], and count statistics [12,13]. Previous studies have primarily focused on learning the image feature representation of breeding pigs, extracting features, and using image-based classification and object recognition for practical applications.…”
Section: Introductionmentioning
confidence: 99%
“…Although the market has demanded increased productivity and efficiency, and theoretical models have incorporated cutting-edge technologies like intelligent remote sensing integrated with artificial intelligence (Ryu & Tai, 2022), there are still significant challenges to achieving digital transformation in agriculture. These challenges include a shortage of specialized labor and limited support for maintenance.…”
Section: Introductionmentioning
confidence: 99%
“…This technological capability also extends to addressing safety concerns such as locating a wandering toddler. Although strides have been made in developing object-detection algorithms, by utilizing both regular and 3D cameras [7,8], the optimal Technologies 2023, 11, 127 2 of 10 modality for facilitating such guidance remains an open question. In instances where visual cues are not feasible, auditory or tactile cues, integrated within cognitive learning paradigms, emerge as a viable alternative [9,10].…”
Section: Introductionmentioning
confidence: 99%