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Journal ArticleDOI

Entropy-based metrics for the analysis of partial and total occlusion in video object tracking

TLDR
Metrics measuring tracking reliability under occlusion that are based on mutual information and do not resort to ground truth data are proposed and tested on an object tracking scheme using multiple feature point correspondences.
Abstract
Metrics measuring tracking reliability under occlusion that are based on mutual information and do not resort to ground truth data are proposed. Metrics for both the initialisation of the region to be tracked as well as for measuring the performance of the tracking algorithm are presented. The metrics variations may be interpreted as a quantitative estimate of changes in the tracking region due to occlusion, sudden movement or deformation of the tracked object. Performance metrics based on the Kullback -Leibler distance and normalised correlation were also added for comparison purposes. The proposed approach was tested on an object tracking scheme using multiple feature point correspondences. Experimental results have shown that mutual information can effectively characterise object appearance and reappearance in many computer vision applications.

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Citations
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Journal ArticleDOI

Adaptive Online Performance Evaluation of Video Trackers

TL;DR: Experimental results show the effectiveness and robustness of the proposed framework that improves state-of-the-art approaches in the presence of tracking challenges such as occlusions, illumination changes, and clutter and on sequences containing multiple tracking errors and recoveries.
Proceedings ArticleDOI

A Image Digital Watermarking based on DWT in Invariant Wavelet Domain

TL;DR: An improved invariant wavelet that is better than the bilinear interpolation is presented, and a novel blind image watermarking algorithm of scalar costa system based on DWT in the rotation- and scale-and translation-(RST) moment invariants wavelet, i.e. RSTMIW domain is designed.
Proceedings ArticleDOI

Shot Boundary Detection Based on Difference Sequences of Mutual Information

TL;DR: The two-order mutual information is introduced into the shot boundary detection to make up for the scarcity of spatial information and fully utilize the relativity of gray-level between the adjacent pixels, and the detection effect is further improved.
Journal ArticleDOI

A Linked List-Based Algorithm for Blob Detection on Embedded Vision-Based Sensors

TL;DR: The design of an algorithm capable of real-time blob detection that minimizes system memory consumption is focused on; it is based on a linked-list data structure tree used to label blobs depending on their shape and node information.
Proceedings ArticleDOI

A Tracking Model with Occlusion Handling Based on Information Fusion

TL;DR: For object tracking with occlusion in video application, an information fusion tracking model based on level set method is proposed, which utilize multiple information to achieve moving object segmenting task.
References
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Book

Probability, random variables and stochastic processes

TL;DR: This chapter discusses the concept of a Random Variable, the meaning of Probability, and the axioms of probability in terms of Markov Chains and Queueing Theory.
Book

Probability, random variables, and stochastic processes

TL;DR: In this paper, the meaning of probability and random variables are discussed, as well as the axioms of probability, and the concept of a random variable and repeated trials are discussed.
Proceedings ArticleDOI

Good features to track

TL;DR: A feature selection criterion that is optimal by construction because it is based on how the tracker works, and a feature monitoring method that can detect occlusions, disocclusions, and features that do not correspond to points in the world are proposed.
Journal ArticleDOI

Performance of optical flow techniques

TL;DR: These comparisons are primarily empirical, and concentrate on the accuracy, reliability, and density of the velocity measurements; they show that performance can differ significantly among the techniques the authors implemented.