In this paper, we develop a neurobiologicallymotivated statistical method for video analysis that simultaneously searches the combined motion and form space in a concerted and efï...
The aim of this work is to investigate how to exploit the temporal information in a video sequence for the task of face recognition. Following the approach in [11], we propose a p...
Abstract. The paper describes a three-layer video coder based on spatiotemporal scalability and data partitioning. The base layer represents video sequences with reduced spatial an...
In this paper, we tackle the problem of matching of objects in video in the context of the rough indexing paradigm. The approach developed is based on matching of region adjacency...
F. Chevalier, Jean-Philippe Domenger, Jenny Benois...
This paper starts from the idea of automatically choosing the appropriate thresholds for a shadow detection algorithm. It is based on the maximization of the agreement between two...