Mixture models are broadly applied in image processing domains. Related existing
challenges include failure to approximate exact data shapes, estimate correct number of …

Since digital media has become increasingly popular, video processing has expanded in
recent years. Video processing systems require high levels of processing, which is one of …

Removing shadows in images is often a necessary pre-processing task for improving the
performance of computer vision applications. Deep learning shadow removal approaches …

Moving object detection is a crucial problem in computer vision. This affects the performance
of the overall system in surveillance applications. In this paper, a Deep-Convolutional …

This paper aims to present a new model for multi-classification in video surveillance, based
on data fusion. First, features are extracted. Then, a pre-classification is conducted using …

Currently, computer vision object detection technology is rapidly developing in multiple
fields. However, under limited memory conditions, computer vision object detection …

Information reconstruction and data modeling and the historical dilemma of contemporary
literature with information mining are studied in this paper. From the technology level, the …

Moving Object Detection (MOD) is still an active area of research due to the amount of
scenarios it can tackle and the different characteristics that may appear in them. Therefore …

abstract This paper aims to present a new model for multi-classification in video
surveillance, based on data fusion. First, features are extracted. Then, a pre-classification is …

Devant l'augmentation de la fréquentation des domaines skiables et la multiplication des
accidents sur les remontées mécaniques imputés au comportement humain, la sécurité est …