This paper focuses on the aspect of traffic lights control in order to reduce congestion and
thereby contribute to the reduction of the negative impact of transport on the urban …

Since the appearance of mobile devices, gesture recognition is being a challenging task in
the field of computer vision. In this paper, a simple and fast algorithm for static hand gesture …

Recent advances in computer vision have almost solved the problem of in the wild face
detection, using complex techniques like convolutional neural networks. On the contrary …

Detecting and recognizing brake lights is essential to avoid collisions and accidents caused
by a vehicle driving behind another vehicle. This refers to traffic risk, among other things, to …

The rise in the use of mobile devices requires finding new ways to interact with this type of
devices. Gestures are an effective way to interact with the mobile device and to place order …

The progressive use of mobile devices has prompted researchers to find new ways to make
interaction with these devices easier and easier. In this context, hand gestures represent an …

This thesis is concerned with the challenging tasks of automatic and real-time vehicle
detection and tracking from aerial video. The aim of this thesis is to build an automatic …

This paper presents the problem of calculating the value of the scoring function for weak
classifiers operating in the sequential structure. An example of such a structure is Gentle …

This paper presents a new extension of LogitBoost algorithm based on the distance of the
object to the decision boundary, which is defined by the weak classifier used in boosting. In …

The article presents one application from the ADAS (Advanced Driver Assistance Systems)
group of systems, which enables the reading of parameters from the module connected to …