The detecting of abnormal crowd activities based on motion vector
Sign Up to like & getrecommendations! Published in 2017 at "Optik"
DOI: 10.1016/j.ijleo.2017.11.187
Abstract: Abstract Aiming at the crowd in high-definition video motion state of sudden changes in rapid detection of abnormal crowd behavior problem, this paper proposes a kind of abnormal behavior crowd detection method based on motion… read more here.
Keywords: abnormal crowd; motion; motion vector; based motion ... See more keywords
Comparison of different sample-based motion planning methods in redundant robotic manipulators
Sign Up to like & getrecommendations! Published in 2022 at "Robotica"
DOI: 10.1017/s026357472200008x
Abstract: The main objective of a motion planning algorithm is to find a collision-free path in the workspace of a robotic manipulator in a point-to-point motion. Among the various motion planning methods available, sample-based motion planning… read more here.
Keywords: sample based; motion; based motion; planning methods ... See more keywords
Validation of a CT-based motion model with in-situ fluoroscopy for lung surface deformation estimation
Sign Up to like & getrecommendations! Published in 2020 at "Physics in medicine and biology"
DOI: 10.1088/1361-6560/abcbcf
Abstract: Many surrogate-based motion models (SMMs), proposed to guide motion management in radiotherapy, are constructed by correlating motion of an external surrogate and internal anatomy during CT-simulation. Changes in this correlation define model break down. We… read more here.
Keywords: lung surface; motion; estimation; model ... See more keywords
Enhancing Lattice-Based Motion Planning With Introspective Learning and Reasoning
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2021.3068550
Abstract: Lattice-based motion planning is a hybrid planning method where a plan is made up of discrete actions, while simultaneously also being a physically feasible trajectory. The planning takes both discrete and continuous aspects into account,… read more here.
Keywords: based motion; lattice based; motion planning; introspective learning ... See more keywords
Ensuring Safety of Learning-Based Motion Planners Using Control Barrier Functions
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3152313
Abstract: Reinforcement learning (RL) has been successfully applied to sequential decision-making problems, e.g., playing computer games or solving robotic tasks in simulations. However, RL methods are not yet ready to be applied to real robotic systems… read more here.
Keywords: based motion; control barrier; safety; barrier functions ... See more keywords
A Sampling-Based Motion Assignment Strategy With Multi-Performance Optimization for Macro-Micro Robotic System
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.1109/lra.2022.3204867
Abstract: This article proposes a sampling-based motion assignment strategy for coordinated motion planning of macro-micro robotic systems. It is used to achieve performance enhancements while solving joint trajectories. The sampling strategy is implemented by traversing a… read more here.
Keywords: sampling based; based motion; motion assignment; strategy ... See more keywords
Event-Based Motion Deblurring With Blur-Aware Reconstruction Filter
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Circuits and Systems for Video Technology"
DOI: 10.1109/tcsvt.2025.3551516
Abstract: Event-based motion deblurring aims at reconstructing a sharp image from a single blurry image and its corresponding events triggered during the exposure time. Existing methods learn the spatial distribution of blur from blurred images, then… read more here.
Keywords: image; blur; based motion; event ... See more keywords
Conditional DQN-Based Motion Planning With Fuzzy Logic for Autonomous Driving
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Intelligent Transportation Systems"
DOI: 10.1109/tits.2020.3025671
Abstract: Motion planning is one of the most significant part in autonomous driving. Learning-based motion planning methods attract many researchers’ attention due to the abilities of learning from the environment and directly making decisions from the… read more here.
Keywords: motion; based motion; motion commands; method ... See more keywords
Neuromorphic Vision-Based Motion Segmentation With Graph Transformer Neural Network
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Multimedia"
DOI: 10.1109/tmm.2024.3521662
Abstract: Moving object segmentation is critical to interpret scene dynamics for robotic navigation systems in challenging environments. Neuromorphic vision sensors are tailored for motion perception due to their asynchronous nature, high temporal resolution, and reduced power… read more here.
Keywords: segmentation; neuromorphic vision; based motion; event ... See more keywords
A Linear Time-Varying Model Predictive Control-Based Motion Cueing Algorithm for Hexapod Simulation-Based Motion Platform
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Systems, Man, and Cybernetics: Systems"
DOI: 10.1109/tsmc.2019.2958062
Abstract: The hexapod manipulator is the most common motion platform, which is widely used as a simulation-based motion platform (SBMP). As the hexapod manipulator has a limited workspace, it is not physically possible to regenerate the… read more here.
Keywords: motion; hexapod; linear time; based motion ... See more keywords
Inverse Dynamics Filtering for Sampling‐based Motion Control
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DOI: 10.1111/cgf.14274
Abstract: We improve the sampling‐based motion control method proposed by Liu et al. using inverse dynamics. To deal with noise in the motion capture we filter the motion data using a Butterworth filter where we choose… read more here.
Keywords: motion; motion control; based motion; sampling based ... See more keywords