297 citations · 1.2k across the 31 of their papers we have counts for
6 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…
Estimating snow cover from publicly available images
Roman Fedorov, Alessandro Camerada, Piero Fraternali +1
In this paper we study the problem of estimating snow cover in mountainous regions, that is, the spatial extent of the earth surface covered by snow. We argue that publicly availab…
SnowWatch: Snow Monitoring through Acquisition and Analysis of User-Generated Content
Roman Fedorov, Piero Fraternali, Chiara Pasini +1
We present a system for complementing snow phenomena monitoring with virtual measurements extracted from public visual content. The proposed system integrates an automatic acquisit…
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…