In several applications, the trajectory of an entity, a feature or an object has to be tracked over a sequence of image frames. When the processing is to be performed in real time, there are important constraints leading to the parallelization of tracking algorithms. This paper presents the results of a concrete implementation, which deals with the particular case of simple objects moving in an context reachable by the vision element (video camera). The steps involved in the solution development are detailed, specially in relation to their parallelization by using a computer heterogeneous network and MPI (Message Passing Interface) support. Finally, an analysis of the different algorithms behavior is carried out together with the obtained r...
Object tracking is a very popular area in image processing. Its popularity comes from the variety of...
Robust visual tracking is a challenging problem because the appearance of a target may rapidly chang...
[Resumen] La visión artificial es una de las técnicas mas utilizadas para la sensorizaci´on de datos...
In several applications, the trajectory of an entity, a feature or an object has to be tracked over ...
For real-time motion tracking the computational requirements suggest a parallel processing solution...
8ppWe describe the implementation of a 3D visual tracking al- gorithm on a cluster architecture.Para...
The research reported here addresses the problem of tracking independently moving objects from a mov...
The paper proposes a way of parallel processing of SURF and Optical Flow for moving object recogniti...
Abstract: Emphasis is made on the development of techniques for tracking a user-selected object thro...
In this work, we present a multi-camera surveillance system based on the use of self-organizing neur...
Abstract Most of the emerging content-based multimedia technologies are based on efficient methods t...
Computer analysis of static images imposes a significant computational burden on the processing hard...
The development of parallel algorithms for an automatic recognition and classification of objects fr...
In this paper, the proposed framework is presented that supports acquiring high-resolution video’s f...
This paper describes an efficient implementation of multiple-target multiple-view tracking in video-...
Object tracking is a very popular area in image processing. Its popularity comes from the variety of...
Robust visual tracking is a challenging problem because the appearance of a target may rapidly chang...
[Resumen] La visión artificial es una de las técnicas mas utilizadas para la sensorizaci´on de datos...
In several applications, the trajectory of an entity, a feature or an object has to be tracked over ...
For real-time motion tracking the computational requirements suggest a parallel processing solution...
8ppWe describe the implementation of a 3D visual tracking al- gorithm on a cluster architecture.Para...
The research reported here addresses the problem of tracking independently moving objects from a mov...
The paper proposes a way of parallel processing of SURF and Optical Flow for moving object recogniti...
Abstract: Emphasis is made on the development of techniques for tracking a user-selected object thro...
In this work, we present a multi-camera surveillance system based on the use of self-organizing neur...
Abstract Most of the emerging content-based multimedia technologies are based on efficient methods t...
Computer analysis of static images imposes a significant computational burden on the processing hard...
The development of parallel algorithms for an automatic recognition and classification of objects fr...
In this paper, the proposed framework is presented that supports acquiring high-resolution video’s f...
This paper describes an efficient implementation of multiple-target multiple-view tracking in video-...
Object tracking is a very popular area in image processing. Its popularity comes from the variety of...
Robust visual tracking is a challenging problem because the appearance of a target may rapidly chang...
[Resumen] La visión artificial es una de las técnicas mas utilizadas para la sensorizaci´on de datos...