Cattle pose estimation is a key step analyzing cattle behaviors and evaluating cattle health, hence, greatly significant for intelligent breeding of cattle. Computer vision based on cattle pose automatic estimation techniques were investigated in this paper and three deep cascaded convolutional neural ...
2023-08-02 HANDAL: A Dataset of Real-World Manipulable Object Categories with Pose Annotations, Affordances, and Reconstructions Andrew Guo et.al. 2308.01477 null 2023-08-01 Human-M3: A Multi-view Multi-modal Dataset for 3D Human Pose Estimation in Outdoor Scenes Bohao Fan et.al. 2308.00628...
The last step of the entire FIN-PRINT pipeline, visualized in Fig.1, describes final individual multi-class identification. Due to reasons of comparison, the results for both models—the preliminary version and the final FIN-IDENTIFY network—are reported. In both cases the overall 101-class acc...
Cattle pose estimation is a key step analyzing cattle behaviors and evaluating cattle health, hence, greatly significant for intelligent breeding of cattle. Computer vision based on cattle pose automatic estimation techniques were investigated in this paper and three deep cascaded convolutional neural ...
A smart fitness trainer on the concepts of pose detection and estimation using deep learning methods, was utilized in [25], where a regional multi-person pose estimation framework has been employed. In addition, AlphaPose has been used for identifying the keypoints, which are the human joints ...
For data training, 400 3D body datasets (male: 200, female: 200) provided by Size Korea were used, and four models, i.e., 3D recurrent reconstruction neural network, point cloud generative adversarial network, skinned multi-person linear model, and pixel-aligned impact function for high-...
For the task of dairy cow 3D reconstruction, the farm environment and the movement of dairy cows significantly impact the resulting point cloud generated using multi-view methods, leading to the appearance of outliers and distortion in the dairy cow 3D point cloud. Consequently, the evaluation of...
How to realize the recognition of multi-posture and multi-behavior of broilers in commercial production environment needs verification studies in commercial houses in the future. 5. Conclusions This study evaluated methods for recognizing broiler behaviors using the CNN model framework (DenseNet-264 ...