Results 251 to 260 of about 872,401 (290)

Multi-feature Hashing Tracking

Pattern Recognition Letters, 2016
The hashing method is introduced into tracking algorithm.2D fusion hashing is proposed to get robust binary feature of object.An effective and easy-to-update model is designed for online updating.The influence of different settings on our tracker is evaluated.
Chao Ma 0002, Chuancai Liu, Furong Peng, Jia Liu   +3 more
openaire   +1 more source

Visualizing features and tracking their evolution

Computer, 1994
We describe basic algorithms to extract coherent amorphous regions (features or objects) from 2 and 3D scalar and vector fields and then track them in a series of consecutive time steps. We use a combination of techniques from computer vision, image processing, computer graphics, and computational geometry and apply them to data sets from computational
Ravi Samtaney, Deborah Silver, Norman Zabusky, Jim Cao   +3 more
openaire   +1 more source

Active face and feature tracking

Proceedings 10th International Conference on Image Analysis and Processing, 2003
This paper describes a method for the detection and tracking of human face and facial features. Skin segmentation is learnt from samples of an image. After detecting a moving object, the corresponding area is searched for clusters of pixels with a known distribution.
Luis Jordao, Matteo Perrone, João Paulo Costeira, José Santos-Victor   +3 more
openaire   +1 more source

Feature Association for Object Tracking

2006 9th International Conference on Information Fusion, 2006
This paper addresses the problem of feature-based estimation of the 3D motion (rotational + translational) and structure of a rigid object from a sequence of 2D monocular images. A rigid object is represented by a set of junctions?groupings of line segments that meet at a single point?which has several advantages over other techniques.
Vesselin P. Jilkov, Huimin Chen, X. Rong Li, Trang Nguyen   +3 more
openaire   +1 more source

Learning Good Features to Track

2014 13th International Conference on Machine Learning and Applications, 2014
Object tracking is an important task within the field of computer vision. Tracking accuracy depends mainly on finding good discriminative features to estimate the target location. In this paper, we introduce online feature learning in tracking and propose to learn good features to track generic objects using online convolutional neural networks (OCNN).
Raed Almomani, Ming Dong 0001, Zhou Liu
openaire   +1 more source

Robust Facial Feature Tracking

Procedings of the British Machine Vision Conference 2000, 2000
We present a robust technique for tracking a set of pre-determined points on a human face. To achieve robustness, the Kanade-Lucas-Tomasi point tracker is extended and specialised to work on facial features by embedding knowledge about the configuration and visual characteristics of the face.
Fabrice Bourel, Claude C. Chibelushi, Adrian A. Low   +2 more
openaire   +1 more source

Natural feature tracking in JavaScript

2012 IEEE Virtual Reality (VR), 2012
We present an efficient natural feature tracking pipeline solely implemented in JavaScript. It is embedded in a web technology-based Augmented Reality system running plugin-free in web browsers. The evaluation shows that real-time framerates on desktop computers and while on smartphones interactive framerates are achieved.
Christoph Oberhofer, Jens Grubert, Gerhard Reitmayr   +2 more
openaire   +1 more source

Tracking feature-based attention

Journal of Neural Engineering, 2019
Abstract Objective . Feature-based attention (FBA) helps one detect objects with a particular color, motion, or orientation. FBA works globally; the attended feature is enhanced at all positions in the visual field.
Veronica C Chu, Michael D’Zmura
openaire   +2 more sources

Motion tracking of iris features for eye tracking

Proceedings of the 11th ACM Symposium on Eye Tracking Research & Applications, 2019
Current video-based eye trackers fail to acquire a high signal-to-noise (SNR) ratio which is crucial for specific applications like interactive systems, event detection, the study of various eye movements, and most importantly estimating the gaze position with high certainty.
openaire   +1 more source

Image stabilization by features tracking

Proceedings 10th International Conference on Image Analysis and Processing, 2003
This paper describes a technique for image stabilization in video sequences. The warping that compensates for the camera motion is computed from tracked features in the images. In order to cope with moving objects, a robust technique is used to compute homographies.
A. Censi, FUSIELLO, Andrea, ROBERTO, Vito   +2 more
openaire   +3 more sources