Results 71 to 80 of about 10,859 (240)

SATSN: A Spatial-Adaptive Two-Stream Network for Automatic Detection of Giraffe Daily Behaviors

Animals
The daily behavioral patterns of giraffes reflect their health status and well-being. Behaviors such as licking, walking, standing, and eating are not only essential components of giraffes’ routine activities but also serve as potential indicators of ...
Haiming Gan, Xiongwei Wu, Jianlu Chen, Jingling Wang, Yuxin Fang, Yuqing Xue, Tian Jiang, Huanzhen Chen, Peng Zhang, Guixin Dong, Yueju Xue   +10 more
doaj   +1 more source

ADAPT: An Autonomous Forklift for Construction Site Operation

Journal of Field Robotics, EarlyView.
ABSTRACT Efficient material logistics are critical in controlling costs and schedules in the construction industry. However, manual material handling remains prone to inefficiencies, delays, and safety risks. Autonomous forklifts offer a solution to streamline on‐site logistics, reducing reliance on human operators and mitigating labor shortages.
Johannes Huemer, Markus Murschitz, Matthias Schörghuber, Lukas Reisinger, Thomas Kadiofsky, Christoph Weidinger, Mario Niedermeyer, Benedikt Widy, Marcel Zeilinger, Csaba Beleznai, Tobias Glück, Andreas Kugi, Patrik Zips   +12 more
wiley   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

Remote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné, Víctor Sazatornil, Lluís Brotons, Felipe Lumbreras Ruiz, Robert Benavente, Maguiña Ramilo‐Henry, Cristina Ramos, Santiago Palazón, Daniel Ponsa   +8 more
wiley   +1 more source

A Mobile LiDAR-Based Deep Learning Approach for Real-Time 3D Body Measurement

Applied Sciences
In this study, we propose a solution for automatically measuring body circumferences by utilizing the built-in LiDAR sensor in mobile devices. Traditional body measurement methods mainly rely on 2D images or manual measurements.
Yongho Jeong, Taeuk Noh, Yonghak Lee, Seonjae Lee, Kwangil Choi, Sujin Jeong, Sunghwan Kim   +6 more
doaj   +1 more source

Improving Keypoint Orientation Assignment [PDF]

Procedings of the British Machine Vision Conference 2011, 2011
Detection and description of local image features has proven to be a powerful paradigm for a variety of applications in computer vision. Often, this process includes an orientation assignment step to render the overall process invariant to in-plane rotation. In this paper, we review several different existing algorithms and propose two novel, efficient
Steffen Gauglitz, Matthew Turk 0001, Tobias Höllerer   +2 more
openaire   +1 more source

Fusion or Confusion? Assessing the Impact of Visible‐Thermal Image Fusion for Automated Wildlife Detection

Remote Sensing in Ecology and Conservation, EarlyView.
This study evaluates the performances of synchronous aerial visible (VIS) and thermal infrared (TIR) imagery for detecting great blue heron (Ardea herodias) nests and individuals using a YOLO11n model. VIS and TIR images were automatically aligned using deep learning, and both early and late fusion approaches were tested.
Camille Dionne‐Pierre, Samuel Foucher, Jérôme Théau, Jérôme Lemaître, Patrick Charbonneau, Maxime Brousseau, Mathieu Varin   +6 more
wiley   +1 more source

World Models for Robotic Manipulation: A Survey

SmartBot, EarlyView.
World models enable robots to anticipate how candidate actions may alter object configurations, contact states, and scene geometry before physical execution. This survey examines world models for robotic manipulation as action‐conditioned predictive systems and organizes the literature according to predicted representations, interfaces between ...
Fangyuan Wang, Ziyuan Wang, Guorui Pei, Mengshi Zhang, Canxi Liang, Jun Hu, Zhongxuan Li, Jinsong Wu, Ning Han, Zeqing Zhang, Jiaming Qi, Hongmin Wu, Shiyao Zhang, Pai Zheng, Jia Pan, David Navarro‐Alarcon, Sichao Liu, Peng Zhou   +17 more
wiley   +1 more source

Training for Task Specific Keypoint Detection [PDF]

, 2009
In this paper, we show that a better performance can be achieved by training a keypoint detector to only find those points that are suitable to the needs of the given task.
Fua, Pascal, Lindner, Albrecht, Ali, Karim, Strecha, Christoph, Pascal Fua, Christoph Strecha, Albrecht Lindner, Karim Ali   +7 more
core   +2 more sources

SFK: Shape‐ and Function‐Grounded Keypoint Representation for Sequential Manipulation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Sequential manipulation is the process by which robots perform multiple interdependent steps to accomplish composite tasks, demanding tight integration of perception, planning and execution. Existing methods incorporate explicit features such as category, semantics, 6D pose or affordance to enhance consistency, yet single‐feature ...
Yaxin Liu, Yan Liu, Xinyu Song, Ruiqing Han, Haiyong Liu, Bo Huang, Yufeng Yao, Ming Zhong   +7 more
wiley   +1 more source

Learning a descriptor-specific 3D keypoint detector

, 2015
Keypoint detection represents the first stage in the majority of modern computer vision pipelines based on automatically established correspondences between local descriptors.
Samuele Salti, SALTI, SAMUELE, Spezialetti, Riccardo, Luigi Di Stefano, TOMBARI, FEDERICO, Federico Tombari, Riccardo Spezialetti, DI STEFANO, LUIGI   +7 more
core   +1 more source