Paulo Peixoto
Paulo Peixoto
University of Coimbra, Electrical and Computer Engineering
Email confirmado em isr.uc.pt
TítuloCitado porAno
A lidar and vision-based approach for pedestrian and vehicle detection and tracking
C Premebida, G Monteiro, U Nunes, P Peixoto
2007 IEEE intelligent transportation systems conference, 1044-1049, 2007
1732007
On exploration of classifier ensemble synergism in pedestrian detection
L Oliveira, U Nunes, P Peixoto
IEEE Transactions on Intelligent Transportation Systems 11 (1), 16-27, 2009
702009
Vision-based pedestrian detection using Haar-like features
G Monteiro, P Peixoto, U Nunes
Robotica 24, 46-50, 2006
652006
Tracking and classification of dynamic obstacles using laser range finder and vision
G Monteiro, C Premebida, P Peixoto, U Nunes
Proc. of the IEEE/RSJ International Conference on Intelligent Robots and …, 2006
602006
3D Lidar-based static and moving obstacle detection in driving environments: An approach based on voxels and multi-region ground planes
A Asvadi, C Premebida, P Peixoto, U Nunes
Robotics and Autonomous Systems 83, 299-311, 2016
582016
Estimation of vehicle velocity and traffic intensity using rectified images
C Maduro, K Batista, P Peixoto, J Batista
2008 15th IEEE International Conference on Image Processing, 777-780, 2008
582008
Real-time active visual surveillance by integrating peripheral motion detection with foveated tracking
J Batista, P Peixoto, H Araujo
Proceedings 1998 IEEE Workshop on Visual Surveillance, 18-25, 1998
561998
Semantic fusion of laser and vision in pedestrian detection
L Oliveira, U Nunes, P Peixoto, M Silva, F Moita
Pattern Recognition 43 (10), 3648-3659, 2010
522010
Detection and tracking of moving objects using 2.5 d motion grids
A Asvadi, P Peixoto, U Nunes
2015 IEEE 18th International Conference on Intelligent Transportation …, 2015
332015
Multimodal vehicle detection: fusing 3D-LIDAR and color camera data
A Asvadi, L Garrote, C Premebida, P Peixoto, UJ Nunes
Pattern Recognition Letters 115, 20-29, 2018
272018
DepthCN: Vehicle Detection Using 3D-LIDAR and ConvNet
A Asvadi, L Garrote, C Premebida, P Peixoto, U Nunes
272017
Road detection using high resolution lidar
R Fernandes, C Premebida, P Peixoto, D Wolf, U Nunes
2014 IEEE Vehicle Power and Propulsion Conference (VPPC), 1-6, 2014
262014
A dual-stage robust vehicle detection and tracking for real-time traffic monitoring
J Batista, P Peixoto, C Fernandes, M Ribeiro
2006 IEEE Intelligent Transportation Systems Conference, 528-535, 2006
252006
3D object tracking using RGB and LIDAR data
A Asvadi, P Girão, P Peixoto, U Nunes
2016 IEEE 19th International Conference on Intelligent Transportation …, 2016
232016
Real-time visual behaviors with a binocular active vision system
J Batista, P Peixoto, H Araújo
Proceedings of International Conference on Robotics and Automation 4, 3391-3396, 1997
211997
Real-time gesture recognition system based on contour signatures
P Peixoto, J Goncalves, H Araujo
Object recognition supported by user interaction for service robots 1, 447-450, 2002
202002
Real-time vergence and binocular gaze control
J Batista, P Peixoto, H Araújo
Proceedings of the 1997 IEEE/RSJ International Conference on Intelligent …, 1997
191997
Visual behaviors for real-time control of a binocular active vision system
J Batista, P Peixoto, H Araújo
Control Engineering Practice 5 (10), 1451-1461, 1997
171997
Real-time human activity monitoring exploring multiple vision sensors
P Peixoto, J Batista, HJ Araujo
Robotics and Autonomous Systems 35 (3-4), 221-228, 2001
152001
A surveillance system combining peripheral and foveated motion tracking
P Peixoto, J Batista, H Araújo
Proceedings. Fourteenth International Conference on Pattern Recognition (Cat …, 1998
141998
O sistema não pode efectuar a operação agora. Tente novamente mais tarde.
Artigos 1–20