Kernel association for classification and prediction: A survey

Y Motai - IEEE transactions on neural networks and learning …, 2014 - ieeexplore.ieee.org
Kernel association (KA) in statistical pattern recognition used for classification and prediction
have recently emerged in a machine learning and signal processing context. This survey …

Systematic analysis and review of video object retrieval techniques

CA Ghuge, VC Prakash, SD Ruikar - Control and Cybernetics, 2020 - yadda.icm.edu.pl
Video object retrieval is a promising research direction, developing in the recent years, and
the current video object retrieval strategies are used for visualizing, digitizing, modeling, and …

Weighed query-specific distance and hybrid NARX neural network for video object retrieval

CA Ghuge, V Chandra Prakash… - The Computer …, 2020 - academic.oup.com
The technical revolution in the field of video recording using the surveillance videos has
increased the amount of the video databases that caused the need for an efficient video …

Detecting human action as the spatio-temporal tube of maximum mutual information

T Wang, S Wang, X Ding - … on circuits and systems for video …, 2013 - ieeexplore.ieee.org
Human action detection in complex scenes is a challenging problem due to its high-
dimensional search space and dynamic backgrounds. To achieve efficient and accurate …

Object and motion cues based collaborative approach for human activity localization and recognition in unconstrained videos

J Ullah, MA Jaffar - Cluster Computing, 2018 - Springer
This paper addresses the problem of activity localization and recognition in large scale
video datasets by the collaborative use of holistic and motion based information (called …

A compressed sensing approach for query by example video retrieval

S Hou, S Zhou, MA Siddique - Multimedia tools and applications, 2014 - Springer
Recently, compressed Sensing (CS) has theoretically been proposed for more efficient
signal compression and recovery. In this paper, the CS based algorithms are investigated for …

Tracking System with Re-identification Using a RGB String Kernel

A Mahboubi, L Brun, D Conte, P Foggia… - Structural, Syntactic, and …, 2014 - Springer
People re-identification consists in identifying a person that comes back in a scene where it
has been previously detected. This key problem in visual surveillance applications may …

Tracking system with re-identification using a graph kernels approach

A Mahboubi, L Brun, D Conte, P Foggia… - Computer Analysis of …, 2013 - Springer
This paper addresses people re-identification problem for visual surveillance applications.
Our approach is based on a rich description of each occurrence of a person thanks to a …

Ré-identification de Personnes par Modèle de Noyaux de Graphe

A Mahboubi, L Brun, D Conte, P Foggia… - Colloque sur le …, 2013 - hal.science
Nous proposons dans cet article, des noyaux sur graphe définis entre le voisinage orienté
de chaque noeud à base de noyau Gaussien permettant la modélisation des individus et …