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A Re-evaluation of Pedestrian Detection on Riemannian Manifolds
Found in: Pattern Recognition, International Conference on
By Diego Tosato, Michela Farenzena, Marco Cistani, Vittorio Murino
Issue Date:August 2010
pp. 3308-3311
Boosting covariance data on Riemannian manifolds has proven to be a convenient strategy in a pedestrian detection context. In this paper we show that the detection performances of the state-of-the-art approach of Tuzel et al. [7] can be greatly improved, f...
An FPGA-based Classification Architecture on Riemannian Manifolds
Found in: Database and Expert Systems Applications, International Workshop on
By Samuele Martelli, Diego Tosato, Michela Farenzena, Marco Cristani, Vittorio Murino
Issue Date:September 2010
pp. 215-220
In Computer Vision and Pattern Recognition, the object detection problem is a fundamental task, but only a few systems are thought to be realized on an embedded architecture. To this end, we propose an effective, low-latency, affordable classification arch...