In this paper, we focus on fine-grained recognition of vehicles mainly in traffic surveillance applications. We propose an approach that is orthogonal to recent advancements in fine …
In this paper, we focus on fully automatic traffic surveillance camera calibration, which we use for speed measurement of passing vehicles. We improve over a recent state-of-the-art …
S Li, Z Yan, H Li, KT Cheng - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
We present a new learning-based framework to recover vehicle pose in SO (3) from a single RGB image. In contrast to previous works that map local appearance to observation angles …
Traffic monitoring cameras are powerful tools for traffic management and essential components of intelligent road infrastructure systems. In this paper, we present a vehicle …
This article presents a new method for automatic calibration of surveillance cameras. We are dealing with traffic surveillance, and therefore, the camera is calibrated by observing …
J Revaud, M Humenberger - Proceedings of the IEEE/CVF …, 2021 - openaccess.thecvf.com
Even though CCTV cameras are widely deployed for traffic surveillance and have therefore the potential of becoming cheap automated sensors for traffic speed analysis, their large …
In recent years we have witnessed significant progress in the performance of object detection in images. This advance stems from the use of rich discriminative features …
In this work, we propose a novel method for automatic camera calibration, mainly for surveillance cameras. The calibration consists in observing objects on the ground plane of …
HC Sánchez, AH Martínez, RI Gonzalo, NH Parra… - IEEE …, 2020 - ieeexplore.ieee.org
Significant progress on human and vehicle pose estimation has been achieved in recent years. The performance of these methods has evolved from poor to remarkable in just a …