ArticleSensors (Basel, Switzerland)2022
EmbeddedPigCount: Pig Counting with Video Object Detection and Tracking on an Embedded Board.
Article in Sensors (Basel, Switzerland), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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The trial behind it
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Who cites it
14 citing papers in PubMed.
- Pig Passage Counting Based on Improved YOLO and HMTC Strategy.Animals : an open access journal from MDPI · 2026Article
- Advances in Audio Classification and Artificial Intelligence for Respiratory Health and Welfare Monitoring in Swine.Biology · 2026Review
- StaticPigDetv2: Performance Improvement of Unseen Pig Monitoring Environment Using Depth-Based Background and Facility Information.Sensors (Basel, Switzerland) · 2026Article
- Research on Enhanced Dynamic Pig Counting Based on YOLOv8n and Deep SORT.Sensors (Basel, Switzerland) · 2025Article
- Research on Dynamic Pig Counting Method Based on Improved YOLOv7 Combined with DeepSORT.Animals : an open access journal from MDPI · 2024Article
- Pattern Mining-Based Pig Behavior Analysis for Health and Welfare Monitoring.Sensors (Basel, Switzerland) · 2024Article
- Lightweight Sheep Head Detection and Dynamic Counting Method Based on Neural Network.Animals : an open access journal from MDPI · 2023Article
- Research on the Recognition and Tracking of Group-Housed Pigs' Posture Based on Edge Computing.Sensors (Basel, Switzerland) · 2023Article
- A Method for Obtaining 3D Point Cloud Data by Combining 2D Image Segmentation and Depth Information of Pigs.Animals : an open access journal from MDPI · 2023Article
- An Improved Pig Counting Algorithm Based on YOLOv5 and DeepSORT Model.Sensors (Basel, Switzerland) · 2023Article
- Comparing State-of-the-Art Deep Learning Algorithms for the Automated Detection and Tracking of Black Cattle.Sensors (Basel, Switzerland) · 2023Article
- StaticPigDet: Accuracy Improvement of Static Camera-Based Pig Monitoring Using Background and Facility Information.Sensors (Basel, Switzerland) · 2022Article
- The Research Progress of Vision-Based Artificial Intelligence in Smart Pig Farming.Sensors (Basel, Switzerland) · 2022Review
- An Integrated Goat Head Detection and Automatic Counting Method Based on Deep Learning.Animals : an open access journal from MDPI · 2022Article
Corrections and comments
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Authors and funding
7 authors.
Funding
Abstract
Knowing the number of pigs on a large-scale pig farm is an important issue for efficient farm management. However, counting the number of pigs accurately is difficult for humans because pigs do not obediently stop or slow down for counting. In this study, we propose a camera-based automatic method to count the number of pigs passing through a counting zone. That is, using a camera in a hallway, our deep-learning-based video object detection and tracking method analyzes video streams and counts the number of pigs passing through the counting zone. Furthermore, to execute the counting method in real time on a low-cost embedded board, we consider the tradeoff between accuracy and execution time, which has not yet been reported for pig counting. Our experimental results on an NVIDIA Jetson Nano embedded board show that this "light-weight" method is effective for counting the passing-through pigs, in terms of both accuracy (i.e., 99.44%) and execution time (i.e., real-time execution), even when some pigs pass through the counting zone back and forth.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.