A Gradient-Based Implementation of Virtual-ESPRIT Algorithm for Target Tracking

1999 ◽  
Vol 6 (3) ◽  
pp. 144-154
Author(s):  
T.-H. Liu ◽  
J.M. Mendel
Keyword(s):  
Target Tracking ◽  
Gradient Based ◽  
Esprit Algorithm

Approximate Proximal Gradient-Based Correlation Filter for Target Tracking in Videos: A Unified Approach

2019 ◽  
Vol 44 (11) ◽  
pp. 9363-9380 ◽  
Author(s):  
Haris Masood ◽  
Saad Rehman ◽  
Aimal Khan ◽  
Farhan Riaz ◽  
Ali Hassan ◽  
...  
Keyword(s):  
Target Tracking ◽  
Correlation Filter ◽  
Unified Approach ◽  
Gradient Based

Measurement preprocessing for nonlinear target tracking

1993 ◽  
Vol 140 (5) ◽  
pp. 316 ◽  
Author(s):  
T.C. Wang ◽  
P.K. Varshney
Keyword(s):  
Target Tracking

Gradient based system-level diagnosis

2007 ◽  
Vol 51 (1-2) ◽  
pp. 43
Author(s):  
Balázs Polgár ◽  
Endre Selényi
Keyword(s):  
System Level ◽  
Gradient Based

Multi-target tracking with an event-based vision sensor and a partial-update GMPHD filter

2019 ◽  
Vol 2019 (13) ◽  
pp. 127-1-127-7
Author(s):  
Benjamin J. Foster ◽  
Dong Hye Ye ◽  
Charles A. Bouman
Keyword(s):  
Target Tracking ◽  
Vision Sensor ◽  
Multi Target Tracking ◽  
Event Based

An Efficient Multiple Description Coding for Multi-View Video Based on the Correlation of Spatial Polyphase Transformed Subsequences

2019 ◽  
Vol 63 (5) ◽  
pp. 50401-1-50401-7 ◽  
Author(s):  
Jing Chen ◽  
Jie Liao ◽  
Huanqiang Zeng ◽  
Canhui Cai ◽  
Kai-Kuang Ma
Keyword(s):  
Video Transmission ◽  
Video Sequence ◽  
Three Dimensional ◽  
The Other ◽  
Multiple Description Coding ◽  
Multiple Description ◽  
Prediction Mode ◽  
Gradient Based ◽  
Directional Interpolation ◽  
Description Coding

Abstract For a robust three-dimensional video transmission through error prone channels, an efficient multiple description coding for multi-view video based on the correlation of spatial polyphase transformed subsequences (CSPT_MDC_MVC) is proposed in this article. The input multi-view video sequence is first separated into four subsequences by spatial polyphase transform and then grouped into two descriptions. With the correlation of macroblocks in corresponding subsequence positions, these subsequences should not be coded in completely the same way. In each description, one subsequence is directly coded by the Joint Multi-view Video Coding (JMVC) encoder and the other subsequence is classified into four sets. According to the classification, the indirectly coding subsequence selectively employed the prediction mode and the prediction vector of the counter directly coding subsequence, which reduces the bitrate consumption and the coding complexity of multiple description coding for multi-view video. On the decoder side, the gradient-based directional interpolation is employed to improve the side reconstructed quality. The effectiveness and robustness of the proposed algorithm is verified by experiments in the JMVC coding platform.

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