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1-10 of 19 Reviews about "
Tracking (I.4.8...)
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Date Reviewed
Interacting multiview tracker
Yoon J., Yang M., Yoon K. IEEE Transactions on Pattern Analysis and Machine Intelligence 38(5): 903-917, 2016. Type: Article
Tracking objects in image sequences, in the presence of blurring, occlusion, and variations in illumination and object pose, is an important and challenging research area. Today’s demanding applications such as autonomous mov...
Feb 15 2017
The interplay of pedestrian navigation, wayfinding devices, and environmental features in indoor settings
Schnitzler V., Giannopoulos I., Hölscher C., Barisic I. ETRA 2016 (Proceedings of the 9th Biennial ACM Symposium on Eye Tracking Research & Applications, Charleston, SC, Mar 14-17, 2016) 85-93, 2016. Type: Proceedings
If you have ever thought about the differences in or influences on pedestrian route processing, this paper is for you. The authors compare the results of three different experiment settings--a navigator without any map, with a...
Sep 29 2016
Robust tracking using visual cue integration for mobile mixed images
Chen H., Tang C. Journal of Visual Communication and Image Representation 30(C): 208-218, 2015. Type: Article
Object recognition is one of the key features of most of the computer vision applications performing object tracking in images. This becomes troublesome when these images accompany scene reflections leading to mixed images. This paper ...
Sep 10 2015
Robust visual tracking via augmented kernel SVM
Bai Y., Tang M. Image and Vision Computing 32(8): 465-475, 2014. Type: Article
Object tracking in videos (image sequences) is an important computer vision task with many different applications, including intelligent robots and vehicles, augmented reality, entertainment, scientific and industrial applications, and...
Mar 3 2015
The use of gaze to control drones
Hansen J., Alapetite A., MacKenzie I., Møllenbach E. ETRA 2014 (Proceedings of the Symposium on Eye Tracking Research and Applications, Safety Harbor, FL, Mar 26-28, 2014) 27-34, 2014. Type: Proceedings
The control of a flying quad-rotor helicopter by mouse, keyboard, and visual gaze is the main concern of this paper. Control of such variables as translation, altitude, speed, and rotation were performed by gaze or by keyboard. Subject...
Sep 12 2014
Hough-based tracking of non-rigid objects
Godec M., Roth P., Bischof H. Computer Vision and Image Understanding 117(10): 1245-1256, 2013. Type: Article
Godec et al. use Hough forests and ferns for online object tracking in images. They implement voting-based detection and back-projection and a rough GrabCut segmentation approach, removing the bounding box representation of the non-rig...
Jan 9 2014
Generation Y, Web design, and eye tracking
Djamasbi S., Siegel M., Tullis T. International Journal of Human-Computer Studies 68(5): 307-323, 2010. Type: Article
Generation Y--the Millennials--are young people--18- to 31-year-olds--who grew up with the Internet and cell phones, who were the early adopters of iPhones, and who are committed to using Web social ...
Nov 12 2010
Robust multiperson tracking from a mobile platform
Ess A., Leibe B., Schindler K., van Gool L. IEEE Transactions on Pattern Analysis and Machine Intelligence 31(10): 1831-1846, 2009. Type: Article
Multiperson tracking in a video stream, as seen by a mobile observer, is the problem addressed in this paper. The solution is an amalgamation of state-of-the-art computer vision techniques, which will most certainly interest researcher...
Apr 22 2010
Optimal recursive clustering of likelihood functions for multiple object tracking
Dubuisson S., Fabrizio J. Pattern Recognition Letters 30(6): 606-614, 2009. Type: Article
This well-written paper focuses on the reliable tracking of moving objects in video streams. It will interest the computer vision community in general, and the object tracking and scene analysis enthusiasts in particular....
Oct 21 2009
Parametric active contours for object tracking based on matching degree image of object contour points
Chen Q., Sun Q., Heng P., Xia D. Pattern Recognition Letters 29(2): 126-141, 2008. Type: Article
This paper presents a semiautomatic object-tracking method based on a combination of both region-tracking and contour-tracking methodologies. It is semiautomatic because it relies on a human to provide the initial contour set. After th...
May 30 2008
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