Abstract: In this paper we present a multi-scale method for the detection of small targets embedded in noisy background. The multiscale representation is built using a weighted und...
Giuseppe Boccignone, Angelo Chianese, Antonio Pica...
Duplicate detection is the problem of detecting different entries in a data source representing the same real-world entity. While research abounds in the realm of duplicate detect...
This paper contributes a new boosting paradigm to achieve detection of events in video. Previous boosting paradigms in vision focus on single frame detection and do not scale to v...
We propose a new approach for video event learning. The only hypothesis is the availability of tracked object attributes. The approach incrementally aggregates the attributes and r...
For multi-target tracking, we realize the increase in number of simultaneously trackable objects and tracking stability by improving the way of communication proposed in [1] so th...