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Other publications by Jean-Christophe Nebel

Common-Sense Knowledge for a Computer Vision System for Human Action Recognition

Maria J. Santofimia, J. Martinez del Rincon and J.-C. Nebel

International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2012), Vitoria-Gasteiz, Spain, December 3-5
2012
[PDF]

Abstract
This work presents a novel approach for human action recognition based on the combination of computer vision techniques and common-sense knowledge and reasoning capabilities. The emphasis of this work is on how common sense has to be leveraged to a vision-based human action recognition so that nonsensical errors can be amended at the understanding stage. The proposed framework is to be deployed in a realistic environment in which humans behave rationally, that is, motivated by an aim or a reason.

Cited by ( Google Scholar: 13, ISI Web of Knowledge: 2 & SCOPUS: 3 ): 13

2022

A systematic survey of data mining and big data in human behavior analysis: Current datasets and models, X Ding, Q Gan, S Bahrami, Transactions on Emerging Telecommunications Technologies, https://doi.org/10.1002/ett.4574, 2022 (G)
Human Movement Datasets: An Interdisciplinary Scoping Review, T Olugbade, M Bienkiewicz, G Barbareschi, ACM Computing Surveys, https://doi.org/10.1145/3534970, 2022 (G)

2021

Leveraging commonsense reasoning towards a smarter Smart Home, AR Ruiz, DV Alises, RC Navarro, MJS Romero, JD Chaparroa, Juan C. Lopez Lopez, Procedia Computer Science, Volume 192, Pages 666-675, 2021 (G)

2020

Animate Object Detection and Q Ground Control, M Goplani, J Rajput, S Nunes, A Varyani, S Khedkar, Book: ICT for Competitive Strategies, 1st Edition, 2020 (G)
Implementation of ROS in Drones for Animate and Inanimate Object Detection, Sankhe, C., Ahuja, B., Coutinho, A., Bhangale, C., Giri, N. In: Vasudevan, H., Michalas, A., Shekokar, N., Narvekar, M. (eds) Advanced Computing Technologies and Applications. Algorithms for Intelligent Systems. Springer, Singapore. https://doi.org/10.1007/978-981-15-3242-9_56, 2020 (G)

2018

Image understanding using vision and reasoning through scene description graph, S Aditya, Y Yang, C Baral, Y Aloimonos, C Fermueller. Computer Vision and Image Understanding, Volume 173, August 2018, Pages 33-45, 2018 (G)
Knowledge and Reasoning for Image Understanding, Aditya, Somak, PhD Thesis, Arizona State University, 2018 (G)

2016

A survey on using domain and contextual knowledge for human activity recognition in video streams L Onofri, P Soda, M Pechenizkiy, G Iannello, Expert Systems with Applications, Volume 63, Pages 97-111, 2016 (G) (I) (S)
Deepiu: an architecture for image understanding, Y Yang, UMD EDU, Y Aloimonos, C Fermuller, Advances in Cognitive Systems 4, 2016 (G)

2015

Visual common-sense for scene understanding using perception, semantic parsing and reasoning, Somak Adityay, Yiannis Aloimonos, Chitta Baraly, Cornelia Fermuller and Yezhou Yang, Common-sense 2015, Association for the Advancement of Artificial Intelligence (AAAI), Spring Symposium, 2015 (G) (S)
From images to sentences through scene description graphs using commonsense reasoning and knowledge, S Aditya, Y Yang, C Baral, C Fermuller, Y Aloimonos, arXiv preprint, 2015 (G)

2014

Episodic Reasoning for Vision-Based Human Action Recognition, Maria J. Santofimia, J. Martinez del Rincon, and J.-C. Nebel, The Scientific World Journal, vol. 2014, Article ID 270171, 18 pages, 2014 (G) (I) (S)
Vision-based Recognition of Human Behaviour for Intelligent Environments, Alexandros Andre Chaaraoui, PhD Thesis, University of Alicante, 2014

j.nebel@kingston.ac.uk