[en] Everyday, a large amount of data is produced thanks
to technological advances in the field of multimedia, associated
with the generalization of their use in many applications. The
need to keep control over this content, in terms of data analysis,
classification, accurate AI (Artificial Intelligence) algorithms are
required to perform this task efficiently and quickly. In this
article, we propose an approach using deep learning technologies
for the analysis of movement in video sequences. The suggested
approach uses images from video splitting to detect objects /
entities present and store their descriptions in a standard XML
file. As result, we provide a Deep Learning algorithm using
TensorFlow for tracking motion and animated entities in video
sequences.