A new framework of human interaction recognition based on multiple stage probability fusion
X Ji, C Wang, Z Ju - Applied Sciences, 2017 - mdpi.com
Visual-based human interactive behavior recognition is a challenging research topic in
computer vision. There exist some important problems in the current interaction recognition …
computer vision. There exist some important problems in the current interaction recognition …
Deriving probabilistic SVM kernels from exponential family approximations to multivariate distributions for count data
N Zamzami, N Bouguila - Mixture Models and Applications, 2020 - Springer
This work aims to propose a robust hybrid probabilistic learning approach that combines
appropriately the advantages of both the generative and discriminative models for modeling …
appropriately the advantages of both the generative and discriminative models for modeling …
A novel group-sparsity-optimization-based feature selection model for complex interaction recognition
Interaction recognition is an important part of action recognition and has various applications
such as surveillance systems, human computer interface, and machine intelligence. In this …
such as surveillance systems, human computer interface, and machine intelligence. In this …
Human interaction recognition using independent subspace analysis algorithm
N Nguyen, A Yoshitaka - 2014 IEEE international symposium …, 2014 - ieeexplore.ieee.org
Human interaction recognition has been widely studied because it has great scientific
importance and many practical applications. Most existing methods rely on spatio-temporal …
importance and many practical applications. Most existing methods rely on spatio-temporal …
Gesture Analysis Using Image Processing: For Detection of Suspicious Human Actions
P Bhagat, AS Bhalchandra - Congress on Intelligent Systems, 2022 - Springer
In recent years, interest in real-time video sequences for human action recognition has risen
rapidly, and discrimination is required to identify which type of human action appears in the …
rapidly, and discrimination is required to identify which type of human action appears in the …
Unsupervised framework for interactions modeling between multiple objects
A Al-Raziqi, J Denzler - … Conference on Computer Vision Theory and …, 2016 - scitepress.org
Extracting compound interactions involving multiple objects is a challenging task in
computer vision due to different issues such as the mutual occlusions between objects, the …
computer vision due to different issues such as the mutual occlusions between objects, the …
Classification and temporal localization for human-human interactions
N Nguyen, A Yoshitaka - 2016 IEEE Second International …, 2016 - ieeexplore.ieee.org
Recognition of human-human interactions is one of the most important topics since it has
great scientific importance and many potential practical applications such as surveillance …
great scientific importance and many potential practical applications such as surveillance …
Two-person interaction recognition from bilateral silhouette of key poses
S Nikzad, H Ebrahimnezhad - Journal of Ambient Intelligence …, 2017 - content.iospress.com
This work proposes a key pose based intelligent system for recognition of human
interactions from video streams. In addition to interaction recognition, the task is useful for …
interactions from video streams. In addition to interaction recognition, the task is useful for …
Unsupervised group activity detection by hierarchical dirichlet processes
A Al-Raziqi, J Denzler - International Conference on Image Analysis and …, 2017 - Springer
Detecting groups plays an important role for group activity detection. In this paper, we
propose an automatic group activity detection by segmenting the video sequences …
propose an automatic group activity detection by segmenting the video sequences …
Human interaction recognition using hierarchical invariant features
N Nguyen, A Yoshitaka - International Journal of Semantic …, 2015 - World Scientific
Human interaction recognition has been widely studied because it has great scientific
importance and many potential practical applications. However, recognizing human …
importance and many potential practical applications. However, recognizing human …