Results 61 to 70 of about 8,410,900 (380)
TDN: Temporal Difference Networks for Efficient Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2020 Temporal modeling still remains challenging for action recognition in videos. To mitigate this issue, this paper presents a new video architecture, termed as Temporal Difference Network (TDN), with a focus on capturing multi-scale temporal information ...
Limin Wang +3 more
semanticscholar +1 more source
Spatio-temporal Relation Modeling for Few-shot Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2021 We propose a novel few-shot action recognition framework, STRM, which enhances class-specific feature discrim-inability while simultaneously learning higher-order temporal representations.
Anirudh Thatipelli +5 more
semanticscholar +1 more source
Action recognition by discriminative EdgeBoxes
IET Computer Vision, 2018 Due to the huge number of online videos uploaded and viewed every day, there is an emerging need nowadays for the action recognition techniques. Applying these techniques in uncontrolled and realistic videos is still a challenging task, considering the ...
Mohammed El‐Masry +2 more
doaj +1 more source
Applied Sciences, 2021 Computer vision-based action recognition of basketball players in basketball training and competition has gradually become a research hotspot. However, owing to the complex technical action, diverse background, and limb occlusion, it remains a ...
Chunyan Ma +3 more
doaj +1 more source
Action tube extraction based 3D-CNN for RGB-D action recognition [PDF]
, 2018 In this paper we propose a novel action tube extractor for RGB-D action recognition in trimmed videos. The action tube extractor takes as input a video and outputs an action tube.
Morros Rubió, Josep Ramon +2 more
core +1 more source
International Journal For Multidisciplinary Research, 2023 human-to-human interaction and interpersonal relations Human activity recognition plays a significant role. Because to identity of a person, their personality, and psychological state it provides information, it is difficult to extract. another person's activities is one of the main subjects of study of the scientific areas of computer vision The human
Shraddha Marotkar -, A.B. Kharate -
openaire +1 more source
Semantic Embedding Space for Zero-Shot Action Recognition [PDF]
, 2015 The number of categories for action recognition is growing rapidly. It is thus becoming increasingly hard to collect sufficient training data to learn conventional models for each category.
Gong, Shaogang +2 more
core +1 more source
Compressed video ensemble based pseudo-labeling for semi-supervised action recognition
Machine Learning with Applications, 2022 Some recent studies have focused on deep learning based semi-supervised learning for action recognition. However, it is difficult to scale up their training because their input is RGB frames, the obtainment of which incurs computational and storage costs.
Hayato Terao +3 more
doaj +1 more source
Temporal Pyramid Network for Action Recognition [PDF]
Computer Vision and Pattern Recognition, 2020 Visual tempo characterizes the dynamics and the temporal scale of an action. Modeling such visual tempos of different actions facilitates their recognition.
Ceyuan Yang +4 more
semanticscholar +1 more source
Efficient Action Recognition with MoFREAK [PDF]
2013 International Conference on Computer and Robot Vision, 2013 Recent work shows that local binary feature descriptors are effective for increasing the efficiency of object recognition, while retaining comparable performance to other state of the art descriptors. An extension of these approaches to action recognition in videos would facilitate huge gains in efficiency, due to the computational advantage of ...
Chris Whiten +2 more
openaire +1 more source