This work describes the implementation of an eye gaze tracking system for a natural user interfac... more This work describes the implementation of an eye gaze tracking system for a natural user interface, based only on non-intrusive devices, like Intel RealSense camera. Through image processing, the implemented system is able to convert face elements to the corresponding focus point on the computer screen. Tests show promising results.
2003 Conference on Computer Vision and Pattern Recognition Workshop, 2003
This paper describes an algorithm for tracking groups of objects in video sequences. The main dif... more This paper describes an algorithm for tracking groups of objects in video sequences. The main difficulties addressed in this work concern total occlusions of the objects to be tracked as well as group merging and splitting. A two layer solution is proposed to overcome these difficulties. The first layer produces a set of spatio temporal strokes based on low level operations which manage to track the active regions most of the time. The second layer performs a consistent labeling of the detected segments using a statistical model based on Bayesian networks. The Bayesian network is recursively computed during the tracking operation and allows the update of the tracker results everytime new information is available. Experimental tests are included to show the performance of the algorithm in ambiguous situations.
Proceedings - International Conference on Image Processing, ICIP, 2005
It was recently proposed an object tracking method which is able to deal with object occlusions a... more It was recently proposed an object tracking method which is able to deal with object occlusions and group tracking, using Bayesian networks. The Bayesian network (BN) tracker has shown promising results in difficult situations but its architecture is limited to a maximum of 2 parents/2 children per node, in order to avoid the combinatorial explosion and difficult network generation procedures from the video signal. This paper addresses the major limitation of the BN tracker and presents a method to generalize the tracker to cope with arbitrary topologies, allowing the tracker to operate in more complex scenes.
This paper presents an integrated system for vehicle classification. This system aims to classify... more This paper presents an integrated system for vehicle classification. This system aims to classify vehicles using different approaches: 1) based on the height of the first axle and_the number of axles; 2) based on volumetric measurements and; 3) based on features extracted from the captured image of the vehicle. The system uses a laser sensor for measurements and a set of image analysis algorithms to compute some visual features. By combining different classification methods, it is shown that the system improves its accuracy and robustness, enabling its usage in more difficult environments satisfying the proposed requirements established by the Portuguese motorway contractor BRISA.
This work describes an eye tracking system for a natural user interface, based only on non-intrus... more This work describes an eye tracking system for a natural user interface, based only on non-intrusive devices such as a simple webcam. Through image processing the system is able to convert the focus of attention of the user to the corresponding point on the screen. Experimental tests were performed displaying to the users a set of known points on the screen. These tests show that the application has promising results.
This work addresses the problem of automatic tracking of pedestrians observed by a fixed camera i... more This work addresses the problem of automatic tracking of pedestrians observed by a fixed camera in outdoor scenes. Tracking isolated pedestrians is not a difficult task. The challenge arises when the tracking system has to deal with temporary occlusions and ...
This work describes the implementation of an eye gaze tracking system for a natural user interfac... more This work describes the implementation of an eye gaze tracking system for a natural user interface, based only on non-intrusive devices, like Intel RealSense camera. Through image processing, the implemented system is able to convert face elements to the corresponding focus point on the computer screen. Tests show promising results.
2003 Conference on Computer Vision and Pattern Recognition Workshop, 2003
This paper describes an algorithm for tracking groups of objects in video sequences. The main dif... more This paper describes an algorithm for tracking groups of objects in video sequences. The main difficulties addressed in this work concern total occlusions of the objects to be tracked as well as group merging and splitting. A two layer solution is proposed to overcome these difficulties. The first layer produces a set of spatio temporal strokes based on low level operations which manage to track the active regions most of the time. The second layer performs a consistent labeling of the detected segments using a statistical model based on Bayesian networks. The Bayesian network is recursively computed during the tracking operation and allows the update of the tracker results everytime new information is available. Experimental tests are included to show the performance of the algorithm in ambiguous situations.
Proceedings - International Conference on Image Processing, ICIP, 2005
It was recently proposed an object tracking method which is able to deal with object occlusions a... more It was recently proposed an object tracking method which is able to deal with object occlusions and group tracking, using Bayesian networks. The Bayesian network (BN) tracker has shown promising results in difficult situations but its architecture is limited to a maximum of 2 parents/2 children per node, in order to avoid the combinatorial explosion and difficult network generation procedures from the video signal. This paper addresses the major limitation of the BN tracker and presents a method to generalize the tracker to cope with arbitrary topologies, allowing the tracker to operate in more complex scenes.
This paper presents an integrated system for vehicle classification. This system aims to classify... more This paper presents an integrated system for vehicle classification. This system aims to classify vehicles using different approaches: 1) based on the height of the first axle and_the number of axles; 2) based on volumetric measurements and; 3) based on features extracted from the captured image of the vehicle. The system uses a laser sensor for measurements and a set of image analysis algorithms to compute some visual features. By combining different classification methods, it is shown that the system improves its accuracy and robustness, enabling its usage in more difficult environments satisfying the proposed requirements established by the Portuguese motorway contractor BRISA.
This work describes an eye tracking system for a natural user interface, based only on non-intrus... more This work describes an eye tracking system for a natural user interface, based only on non-intrusive devices such as a simple webcam. Through image processing the system is able to convert the focus of attention of the user to the corresponding point on the screen. Experimental tests were performed displaying to the users a set of known points on the screen. These tests show that the application has promising results.
This work addresses the problem of automatic tracking of pedestrians observed by a fixed camera i... more This work addresses the problem of automatic tracking of pedestrians observed by a fixed camera in outdoor scenes. Tracking isolated pedestrians is not a difficult task. The challenge arises when the tracking system has to deal with temporary occlusions and ...
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Papers by Pedro Jorge