Search
Search Results
-
Detection Method of Manipulator Grasp Pose Based on RGB-D Image
In order to better solve the visual detection problem of manipulator gras** non-cooperative targets, we propose a method of grasp pose detection...
-
SD-Pose: facilitating space-decoupled human pose estimation via adaptive pose perception guidance
Human pose estimation is a popular and challenging task in computer vision. Currently, the mainstream methods for pose estimation are based on...
-
Augmenting a Pretrained Object Detection Model with Planar Pose Estimation Capability
AbstractThis paper presents a 2D pose estimation solution to the bin-picking problem for robotic gras** systems. By extending a pretrained object...
-
MDA-YOLO Person: a 2D human pose estimation model based on YOLO detection framework
Human pose estimation aims to locate and predict the key points of the human body in images or videos. Due to the challenges of capturing complex...
-
Pose visual detection method for cellphone drop** process incorporating prior information
The failure mode analysis of the process of drop** a cellphone is significantly impacted by changes in the phone’s pose. During the drop process of...
-
A Novel Convolutional Neural Network for Head Detection and Pose Estimation in Complex Environments from Single-Depth Images
Computer vision based on neural networks is an important part of modern cognitive research. As important applications, head detection and pose...
-
An object planar gras** pose detection algorithm in low-light scenes
In this study, we present a novel algorithm aimed at detecting the gras** poses of target objects in the visual gras** process of robotic arms,...
-
Pose invariant non-frontal 2D, 2.5D face detection and recognition technique
In this paper, the Pose Invariant Identity Recognition (PIIR) technique is proposed. It measures face resemblance using facial landmarks, which are...
-
Robust monocular object pose tracking for large pose shift using 2D tracking
Monocular object pose tracking has been a key technology in autonomous rendezvous of two moving platforms. However, rapid relative motion between...
-
Hierarchical pose net: spatial hierarchical body tree driven multi-person pose estimation
In this paper, we explore multi-level semantic information of human body structure and propose a paradigm for bottom-up multi-person pose estimation....
-
Video based exercise recognition and correct pose detection
Human pose estimation has gained significant attention from researchers of the present era. Personal exercise sessions can be monitored and...
-
HDA-pose: a real-time 2D human pose estimation method based on modified YOLOv8
2D human pose estimation aims to accurately regress the keypoints of human body from images or videos. However, it remains challenging due to the...
-
Pose image generation for video content creation using controlled human pose image generation GAN
Human pose image generation is a challenging task in computer vision with applications in animation, gaming, and virtual reality. This paper presents...
-
Flow-pose Net: an effective two-stream network for fall detection
Aging society gives rise to the need of fall detection for the elderly. The interference of the environmental noise and the loss of motion...
-
Evaluation of Camera Pose Estimation Using Human Head Pose Estimation
We introduce and evaluate a novel camera pose estimation framework that uses the human head as a calibration object. The proposed method facilitates...
-
Pose attention and object semantic representation-based human-object interaction detection network
Human-object interaction (HOI) detection is a core problem in human-centric scene understanding, which is devoted to inferring triplets < human,...
-
On Mobile Pose Estimation and Action Recognition Design and Implementation
AbstractHuman pose estimation (PE, tracking body pose on-the-go) is a computer vision-based technology that identifies and controls specific points...
-
Pose pattern mining using transformer for motion classification
Capitalizing on the rapid development of diverse deep learning technologies in the field of image analysis, studies are now being conducted to detect...
-
Structure guided network for human pose estimation
Humans have an impressive ability to reliably perceive pose with semantic descriptions (e.g. both arm up or left leg bent). To leverage the...
-
Part-based tracking for object pose estimation
Object pose estimation is crucial in human–computer interaction systems. The traditional point-based detection approaches rely on the robustness of...
