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Robust visual tracking using structurally random projection and weighted least squares
Sparse representation-based visual tracking approaches have attracted increasing interests
in the community in recent years. The main idea is to linearly represent each target …
in the community in recent years. The main idea is to linearly represent each target …
SnooperText: A text detection system for automatic indexing of urban scenes
We describe S nooper T ext, an original detector for textual information embedded in photos
of building façades (such as names of stores, products and services) that we developed for …
of building façades (such as names of stores, products and services) that we developed for …
A real time algorithm for people tracking using contextual reasoning
In this paper we present a real-time tracking algorithm that is able to deal with complex
occlusions involving a plurality of moving objects simultaneously. The rationale is grounded …
occlusions involving a plurality of moving objects simultaneously. The rationale is grounded …
Multi-task structure-aware context modeling for robust keypoint-based object tracking
In the fields of computer vision and graphics, keypoint-based object tracking is a
fundamental and challenging problem, which is typically formulated in a spatio-temporal …
fundamental and challenging problem, which is typically formulated in a spatio-temporal …
A numerical approach for tracking unknown number of individual targets in videos
MH Sharif - Digital Signal Processing, 2016 - Elsevier
Suppose that we wish to get a comprehensive match of a target in the next frame. Where
would we search the target in the next frame? Brute-force search has an asymptotic runtime …
would we search the target in the next frame? Brute-force search has an asymptotic runtime …
A deep features based generative model for visual tracking
In this work, we propose a novel visual tracking algorithm based on a framework of
generative model. In order to make the algorithm robust to various challenging appearance …
generative model. In order to make the algorithm robust to various challenging appearance …
A deep-learning based multi-modality sensor calibration method for usv
H Liu, Y Liu, X Gu, Y Wu, F Qu… - 2018 IEEE Fourth …, 2018 - ieeexplore.ieee.org
The automatic obstacle avoidance and other tasks of the unmanned surface vehicle rely on
the fusion of multi-modality onboard sensors. The accurate calibration method is the …
the fusion of multi-modality onboard sensors. The accurate calibration method is the …
Analysis of object description methods in a video object tracking environment
A key issue in video object tracking is the representation of the objects and how effectively it
discriminates between different objects. Several techniques have been proposed, but …
discriminates between different objects. Several techniques have been proposed, but …
Tracking System for mobile user Based on CCTV
Y Yoon, J Chun - The International Conference on Information …, 2014 - ieeexplore.ieee.org
The Closed Circuit Television (CCTV) systems have been used at large scale for tracking
and getting popularity with every passing day. The most common goal of CCTV system is …
and getting popularity with every passing day. The most common goal of CCTV system is …
Object tracking based on particle filter with discriminative features
Y Zhao, H Pei - Journal of control Theory and Applications, 2013 - Springer
This paper presents a particle filter-based visual tracking method with online feature
selection mechanism. In color-based particle filter algorithm the weights of particles do not …
selection mechanism. In color-based particle filter algorithm the weights of particles do not …