Results 21 to 30 of about 438,335 (232)
Sparsity based Single Object Tracking [PDF]
Object tracking has importance in various video processing applications like video surveillance, perceptual user interface driver assistance, tracking etc. This paper deals with a new tracking technique that combines the dictionary based background subtraction along with sparsity based tracking.
Glincy Abraham +2 more
openaire +1 more source
Multi-object tracking using sparse representation [PDF]
Manuscript to ICASSP 2013International audienceRecently sparse representation has been successfully applied to single object tracking by observing the reconstruction error of candidate object with sparse representation. In practice, sparse representation
Bai, Cong +3 more
core +3 more sources
Object tracking with measurements from single or multiple cameras [PDF]
To be able to determine the position of a static object in 3D space by means of computer vision, it has to be seen by cameras from at least two different view points. The same applies for measuring the position of a moving object based on images captured at one single time instant.
Magnus Linderoth +3 more
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Multi-object Tracking with a Hierarchical Single-branch Network
Recent Multiple Object Tracking (MOT) methods have gradually attempted to integrate object detection and instance re-identification (Re-ID) into a united network to form a one-stage solution. Typically, these methods use two separated branches within a single network to accomplish detection and Re-ID respectively without studying the inter-relationship
Fan Wang +4 more
openaire +2 more sources
High-resolution satellite video single object tracking based on thicksiam framework
High-resolution satellite videos realize the short-dated gaze observation of the designated area on the ground, and its emergence has improved the temporal resolution of remote sensing data to the second level.
Xiaodong Zhang +6 more
doaj +1 more source
A robust single and multiple moving object detection, tracking and classification [PDF]
Surveillance is the emerging concept in the current technology, as it plays a vital role in monitoring keen activities at the nooks and corner of the world.
T. Mahalingam, M. Subramoniam
doaj +1 more source
The Application of Image Processing to Solve Occlusion Issue in Object Tracking
Object tracking is a computer vision field that involves identifying and tracking either a single or multiple objects in an environment. This is extremely useful to help observe the movements of the target object like people in the street or cars on the ...
Cheong Yun Zhe, Chew Wei Jen
doaj +1 more source
Unsupervised Lightweight Single Object Tracking with UHP-SOT++
An unsupervised, lightweight and high-performance single object tracker, called UHP-SOT, was proposed by Zhou et al. recently. As an extension, we present an enhanced version and name it UHP-SOT++ in this work. Built upon the foundation of the discriminative-correlation-filters-based (DCF-based) tracker, two new ingredients are introduced in UHP-SOT ...
Zhiruo Zhou +3 more
openaire +2 more sources
Multi-UAV Multi-Object Tracking Based on Deep Learning [PDF]
Unmanned Aerial Vehicle (UAV) Multi-Object Tracking (MOT) technology is widely used in various fields such as traffic operation, safety monitoring, and water area inspection.
ZHOU Hanqi, FANG Dongxu, ZHANG Ningbo, SUN Wensheng
doaj +1 more source
TOPSIS Aided Object Pose Tracking on RGB Images
In the problem of object pose estimation, one way to cope with the effect of ambiguity is to use multiple hypotheses. In this work, rather than generating the output pose based on a single object pose, our objective is to enable the system to be aware of
Mateusz Majcher, Bogdan Kwolek
doaj +1 more source

