Results 281 to 290 of about 586,693 (333)

Automated detection of physical contact events in youth ice hockey: a player-centric deep learning approach. [PDF]

Sci Rep
Azadi A, Dehghan P, Hussein RMAH, Karton C, Fraser M, Laganière R, Graham RB, Hoshizaki TB.   +7 more
europepmc   +1 more source

Tracking people in video

, 2013
Amaral, Wagner Machado do, 1986-
openalex   +1 more source

Robust Automated Monitoring of Dairy Cow Rumination via Improved YOLOv11 and BoT-SORT in Complex Environments. [PDF]

Animals (Basel)
Zhao Y, Wang L, Tang S, Zhai Q, Yu R, Jia Z.   +5 more
europepmc   +1 more source

Data-Driven Insights into E-Learning: A Comprehensive Review of Eye-Tracking Applications in Learning Systems. [PDF]

J Eye Mov Res
Bendjebar S, Lafifi Y, Boudjehem R, Laouissi A.   +3 more
europepmc   +1 more source

Measures of Effective Video Tracking [PDF]

IEEE Transactions on Image Processing, 2014
To evaluate multitarget video tracking results, one needs to quantify the accuracy of the estimated target-size and the cardinality error as well as measure the frequency of occurrence of ID changes. In this paper, we survey existing multitarget tracking performance scores and, after discussing their limitations, we propose three parameter-independent ...
Tahir Nawaz, Fabio Poiesi, Andrea Cavallaro   +2 more
exaly   +4 more sources

Some of the next articles are maybe not open access.

Related searches:

Boosted Tracking in Video

IEEE Signal Processing Letters, 2010
We discuss how a probabilistic interpretation of the output provided by a cascade of boosted classifiers can be exploited for Bayesian tracking in video streams. In particular, real-time face and body detection can be achieved by relying on such a Bayesian framework.
G. Boccignone, P. Campadelli, A. Ferrari, G. Lipori   +3 more
openaire   +2 more sources

Bayesian Tracking for Video Analytics

IEEE Signal Processing Magazine, 2010
Visual tracking represents the basic processing step for most video analytics applications where the aim is to automatically understand the actions occurring in a monitored scene. Consequently, the performances of these applications are significantly dependent on the accuracy and robustness of the tracking algorithm.
A. DORE, M. SOTO, REGAZZONI, CARLO
openaire   +2 more sources

Tracking of Objects in Video Sequences

2021
The paper considers the issues of trajectory tracking of a large number of objects on video images in modes close to real time. To implement such support, a combination of algorithms based on the YOLO v3 convolutional neural network (CNN), doubly stochastic filters and pseudo-gradient procedures for aligning image fragments is proposed.
Nikita A. Andriyanov, Vitaly Dementiev, Dmitry Kondratiev   +2 more
openaire   +1 more source

An adaptive approach to video tracking

IEEE Journal on Robotics and Automation, 1988
A video tracking system based on the principles of optimalizing control is presented. This system is designed such that expensive segmentation procedures are not necessary, and is well suited for fast hardware implementation. At the image received from the camera a perturbation procedure is performed, simulating the variations on the intensity values ...
Mansur R. Kabuka, Eugene S. McVey, E. Patrick Shironoshita   +2 more
openaire   +1 more source