We propose a model for classification and detection of object classes where the number of classes may be large and where multiple instances of object classes may be present in an i...
We propose a novel approach for multi-person trackingby-
detection in a particle filtering framework. In addition
to final high-confidence detections, our algorithm uses the
con...
Michael D. Breitenstein, Fabian Reichlin, Bastian ...
The problem of detecting areas of motion in video sequences and estimating parameters such as speed, direction and dynamics is addressed in many applications of image processing s...
An insider-robust approach to file integrity verification is developed using interacting strata of mobile agents. Previous approaches relied upon monolithic architectures, or more...
This paper presents a novel framework for detecting non-flat abandoned objects by matching a reference and a target video sequences. The reference video is taken by a moving camera...