Automatic video classification: a review
P Rani, J Kaur, S Kaswan - EAI Endorsed Transactions on Creative …, 2020 - eudl.eu
INTRODUCTION: In last few years number of internet users and available bandwidth has
been increased exponentially. The availability of internet with such a low cost is making …
been increased exponentially. The availability of internet with such a low cost is making …
Human behaviour recognition based on trajectory analysis using neural networks
J Azorín-López, M Saval-Calvo… - … Joint Conference on …, 2013 - ieeexplore.ieee.org
Automated human behaviour analysis has been, and still remains, a challenging problem. It
has been dealt from different points of views: from primitive actions to human interaction …
has been dealt from different points of views: from primitive actions to human interaction …
Automatic identification of anomalous driving events from trajectory data
The high-resolution high-accuracy time-series trajectory data preserves rich motion status
and characteristic information of vehicles in a microscopic manner. In order to analyze novel …
and characteristic information of vehicles in a microscopic manner. In order to analyze novel …
Combining velocity and location-specific spatial clues in trajectories for counting crowded moving objects
M Hashemzadeh, G Pan, Y Wang, M Yao… - International Journal of …, 2013 - World Scientific
Trajectory-clustering-based methods have shown a good performance in counting moving
objects in densely crowded scenes. However, they still fall into trouble in complex scenes …
objects in densely crowded scenes. However, they still fall into trouble in complex scenes …
Self-organizing activity description map to represent and classify human behaviour
J Azorin-Lopez, M Saval-Calvo… - … joint conference on …, 2015 - ieeexplore.ieee.org
The automated understanding of people activities from video sequences is an open
research topic in which the computer vision and pattern recognition areas have made big …
research topic in which the computer vision and pattern recognition areas have made big …
Constrained self-organizing feature map to preserve feature extraction topology
In many classification problems, it is necessary to consider the specific location of an n-
dimensional space from which features have been calculated. For example, considering the …
dimensional space from which features have been calculated. For example, considering the …
Challenges of Integrating A Priori Information Efficiently in the Discovery of Spatio-Temporal Objects in Large Databases
Using the knowledge discovery framework, it is possible to explore object databases and
extract groups of objects with highly heterogeneous movement behavior by efficiently …
extract groups of objects with highly heterogeneous movement behavior by efficiently …
Итеративная кластеризация траекторий управляемых объектов в многомерном пространстве характеристик
БГ Кухаренко, МО Солнцева - Информационные технологии, 2014 - elibrary.ru
Итеративное применение алгоритма кластеризации многомерных траекторий
управляемых объектов позволяет выделить характерные паттерны движения и …
управляемых объектов позволяет выделить характерные паттерны движения и …
Покомпонентный дискриминантный анализ результатов кластеризации многомерных траекторий
БГ Кухаренко, МО Солнцева - Информационные технологии, 2014 - elibrary.ru
Многомерный дискриминантный анализ применяется к результатам кластеризации
пространственных траекторий объектов на основе метода полиномиальных …
пространственных траекторий объектов на основе метода полиномиальных …
An Enhanced ANN-HMM based classification of video recordings with the aid of audio-visual feature extraction
P Mehta, S Kaswan, J Kaur - EAI Endorsed Transactions on Creative …, 2021 - eudl.eu
INTRODUCTION: As an essential part of life, the use of the Internet has increased
exponentially. This rising Internet bandwidth speed has made video data transmission a …
exponentially. This rising Internet bandwidth speed has made video data transmission a …