Results 91 to 100 of about 1,549,240 (256)

Interactive Prompt‐Guided Robotic Grasping for Arbitrary Objects Based on Promptable Segment Anything Model and Force‐Closure Analysis

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
A laser pointer‐guided robotic grasping method for arbitrary objects based on promptable segment anything model and force‐closure analysis is presented. Grasp generation methods based on force‐closure analysis can calculate the optimal grasps for objects through their appearances. However, the limited visual perception ability makes robots difficult to
Yan Liu, Yaxin Liu, Ruiqing Han, Kai Zheng, Yufeng Yao, Ming Zhong   +5 more
wiley   +1 more source

A comprehensive survey on RGB-D-based human action recognition: algorithms, datasets, and popular applications

EURASIP Journal on Image and Video Processing
Due to the rapid advances in computer vision and deep learning, human action recognition has become one of the most important representative tasks for video understanding.
Yumin Zhang, Yanyong Wang
doaj   +1 more source

Accurate and Anti‐Interference Control of Computer Vision‐Assisted Light‐Driven Liquid Crystal Elastomer Actuator

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This article introduces a computer vision‐assisted control strategy for light‐driven liquid crystal elastomer actuators. Through negative feedback regulation, the liquid crystal elastomer actuator exhibits accurate and stable bending deformation in complex environments.
Wei Zhang, Zongxuan Wu, Li Lin, Yanjun Liu, Xiaoying Tang, Yajing Shen, Dan Luo   +6 more
wiley   +1 more source

DGU-HAO: A Dataset With Daily Life Objects for Comprehensive 3D Human Action Analysis

IEEE Access
The importance of a high-quality dataset availability in 3D human action analysis research cannot be overstated. This paper introduces DGU-HAO (Human Action analysis dataset with daily life Objects).
Jiho Park, Junghye Kim, Yujung Gil, Dongho Kim   +3 more
doaj   +1 more source

Vision-Based Production of Personalized Video

, 2009
In this paper we present a novel vision-based system for the automated production of personalised video souvenirs for visitors in leisure and cultural heritage venues. Visitors are visually identified and tracked through a camera network.
Doulamis, A., Kosmopoulos, D.I., Doulamis, N., Makris, A., Middleton, Stuart, Chatzis, S.   +5 more
core  

COSMOS-7: Video-oriented MPEG-7 scheme for modelling and filtering of semantic content [PDF]

, 2005
MPEG-7 prescribes a format for semantic content models for multimedia to ensure interoperability across a multitude of platforms and application domains.
Agius, HW, Angelides, MC
core   +1 more source

From Swarm to Individual: Emergent Individuality in Light‐Mediated Robot Collectives

Advanced Intelligent Systems, EarlyView.
Can individuality emerge from a swarm? Using nominally homogeneous phototactic robots, we show that collective light conditions reorganize robot‐level behavioral profiles. Global illumination amplifies persistent differences in state occupancy, while robot‐mounted local light cues reduce fixed differentiation and favor transient high‐switching profiles.
John Smith, Atsushi Masumori, Norihiro Maruyama, Takahide Yoshida, Takashi Ikegami   +4 more
wiley   +1 more source

CGA RGB-to-NTSC video encoder

, 1993
The CGA RGB-to-NTSC video encoder would encode the different separated components of the color graphics adapter (CGA) signals into composite signals acceptable to an NTSC receiver.The project first uses the horizontal and vertical sync components of the ...
Ambrosio, Marc Noel O., Suena, Onezimo M.   +1 more
core  

The Photograph of RGB Behavior Video Background Subtraction.

, 2015
The Photograph of RGB Behavior Video Background Subtraction.
Yue Ming (438455), Chunxiao Fan (735000), Guangchao Wang (734999)   +2 more
core   +1 more source

Toward Complex In‐Car Environment Human–Vehicle Interactions Through Smart Glasses and sEMG‐Based Gesture Recognition

Advanced Intelligent Systems, EarlyView.
This study proposes a novel weighted random forest multimodal fusion method that combines smart glasses and sEMG data for in‐vehicle gesture interaction. It realizes stable performance in dim, occluded, and other constrained scenarios, providing feasible solutions and laying a foundation for universal human–machine interaction.
Wenbo Zhang, Wenting Wei, Kuang Li, Chuyuan Bian, Junkai Xu, Jianing Qiu, Yuxi Lu, Bin He, Shuo Jiang   +8 more
wiley   +1 more source