ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
We propose an automatic approach to synchronize a network of uncalibrated and unsynchronized video cameras, and recover the complete calibration of all these cameras. In this pape...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Object tracking algorithms extensively found in literature are either constrained with assumptions or are overly sensitive to noise. We propose and successfully test two new weigh...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
This paper presents a novel face detection method in video by using Discriminating Feature Analysis (DFA) and Support Vector Machine (SVM). Our method first incorporates temporal ...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
This paper presents a new background light intensity normalization algorithm suitable for historical document images. The algorithm uses an adaptive linear function to approximate...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Authors Address the problem of recognition and retrieval of relatively weak industrial signal such as Partial Discharges (PD) buried in excessive noise. The major bottleneck being...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
We present a generic tracker which can handle a variety of different objects. For this purpose, groups of low-level features like interest points, edges, homogeneous and textured ...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
The automated detection and tracking of humans in computer vision necessitates improved modeling of the human skin appearance. In this paper we propose a Bayesian network approach...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
Local space-time features capture local events in video and can be adapted to the size, the frequency and the velocity of moving patterns. In this paper we demonstrate how such fe...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, an off-line, text independent system for writer identification using Hidden Markov Model (HMM) based recognizers is described. For each writer we build an individua...