Results 1 to 10 of about 110,175 (278)
Cow detection and tracking system utilizing multi-feature tracking algorithm
Scientific Reports, 2023 In modern cattle farm management systems, video-based monitoring has become important in analyzing the high-level behavior of cattle for monitoring their health and predicting calving for providing timely assistance.
Cho Cho Mar +5 more
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eCDT: Event Clustering for Simultaneous Feature Detection and Tracking
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022 IROS2022 accepted ...
Hyun Myung, Hyungtae Lim, Yeeun Kim
exaly +5 more sources
WormSORT: A detection-based multiple object tracking model for individual silkworms in breeding environments. [PDF]
PLoS Computational BiologyVariety breeding has long been a cornerstone of high-quality agriculture, and recent advances in artificial intelligence have opened new avenues for accelerating biological breeding.
Hongkang Shi +5 more
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Research on Target-detection and Tracking of Intelligent Mine Trucks in Open-pit Mines
Kongzhi Yu Xinxi Jishu, 2022 To ensure the safety of mine trucks on unpaved roads and in dusty environments, it's necessary to improve the efficiency and robustness of targets detection and tracking.
LI Yuanzhengyu +5 more
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Joint detection and tracking in videos with identification features [PDF]
Image and Vision Computing, 2020 Accepted at Image and Vision Computing ...
Bharti Munjal +5 more
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Feature Detection and Tracking with Constrained Local Models [PDF]
Procedings of the British Machine Vision Conference 2006, 2006 We present an efficient and robust model matching method which uses a joint shape and texture appearance model to generate a set of region template detectors. The model is fitted to an unseen image in an iterative manner by generating templates using the joint model and the current parameter estimates, correlating the templates with the target image to
Cristinacce, David, Cootes, Tim
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Sensors, 2020 Multi-resolution feature fusion DCF (Discriminative Correlation Filter) methods have significantly advanced the object tracking performance. However, careless choice and fusion of sample features make the algorithm susceptible to interference, leading to
Lin Zhou +6 more
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Boost Correlation Features with 3D-MiIoU-Based Camera-LiDAR Fusion for MODT in Autonomous Driving
Remote Sensing, 2023 Three-dimensional (3D) object tracking is critical in 3D computer vision. It has applications in autonomous driving, robotics, and human–computer interaction.
Kunpeng Zhang +4 more
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Feature Harvesting for Tracking-by-Detection [PDF]
, 2006 We propose a fast approach to 3–D object detection and pose estimation that owes its robustness to a training phase during which the target object slowly moves with respect to the camera. No additional information is provided to the system, save a very rough initialization in the first frame of the training sequence. It can be used to detect the target
Ozuysal, Mustafa +3 more
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Chained End-to-End Pedestrian Multi-Object Tracking Network with Multi-Feature Fusion [PDF]
Jisuanji gongcheng, 2022 Object detection, feature extraction, and data association as important components in multi-target tracking network, work independently or partially jointly.Despite the improved tracking performance, separated components increase the tracking network ...
ZHOU Haiyun, XIANG Xuezhi, WANG Xinyao, REN Wenkai
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