227 citations · 994 across the 36 of their papers we have counts for
5 papers · 1 filter
Deep convolutional neural networks for pedestrian detection
Denis Tomè, Federico Monti, Luca Baroffio +3
Pedestrian detection is a popular research topic due to its paramount importance for a number of applications, especially in the fields of automotive, surveillance and robotics. De…
Source localization and denoising: a perspective from the TDOA space
Marco Compagnoni, Antonio Canclini, Paolo Bestagini +3
In this manuscript, we formulate the problem of denoising Time Differences of Arrival (TDOAs) in the TDOA space, i.e. the Euclidean space spanned by TDOA measurements. The method c…
Fast keypoint detection in video sequences
Luca Baroffio, Matteo Cesana, Alessandro Redondi +1
A number of computer vision tasks exploit a succinct representation of the visual content in the form of sets of local features. Given an input image, feature extraction algorithms…
Hybrid coding of visual content and local image features
Luca Baroffio, Matteo Cesana, Alessandro Redondi +2
Distributed visual analysis applications, such as mobile visual search or Visual Sensor Networks (VSNs) require the transmission of visual content on a bandwidth-limited network, f…
Coding local and global binary visual features extracted from video sequences
Luca Baroffio, Antonio Canclini, Matteo Cesana +3
Binary local features represent an effective alternative to real-valued descriptors, leading to comparable results for many visual analysis tasks, while being characterized by sign…