High-speed visual target tracking with mixed rotation invariant description and skipping searching

Yang, Yongxing; Yang, Jie; Zhang, Zhongxing; Liu, Liyuan; Wu, Nanjian

doi:10.1007/s11432-016-0037-0

Cited by 6 publications

(2 citation statements)

References 214 publications

(305 reference statements)

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“…Because signal types of features cannot meet engineering requirements, many scholars have explored integrated feature extraction for image processing. For instance, Yang et al [19] achieved high-speed tracking of image targets via hybrid rotation invariant description and skip search. Xia et al [20] use color and edge feature distribution to build a mixture model to search for matching targets in the next frame image.…”

Section: Introductionmentioning

confidence: 99%

Research of the Vibration Source Tracking in Phase-Sensitive Optical Time-Domain Reflectometry Signals Based by Image Processing Method

Wang

2018

Algorithms

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This paper aims to improve the source tracking efficiency of distributed vibration signals generated by phase-sensitive optical time-domain reflectometry (Φ-OTDR). Considering the two dimensions (time and length) of Φ-OTDR signals, the authors saved and processed these signals as images after particle filtering. The filtering method could save 0.1% of hard drive space without sacrificing the original features of the signals. Then, an integrated feature extraction method was proposed to further process the generated image. The method combines three individual extraction methods, namely, texture feature extraction, shape feature extraction and intrinsic feature extraction. Subsequently, the signal of each frame image was recognized to track the vibration source. To verify the effect of the proposed method, several experiments were carried out to compare it with popular and traditional approaches. The results show that: Hard drive space is greatly conserved by saving the distributed vibration signals as images; the proposed particle filter is a desirable way to screen the vibration signals for monitoring; the integrated feature extraction outperforms the individual extraction methods for texture features, shape features and intrinsic features; the proposed method has a better effect than other popular integrated feature extraction methods; and, the signal source tracking method has little impact on the positioning accuracy of the vibration source. The research findings provide important insights into the source tracking of Φ-OTDR signals.

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Section: Introductionmentioning

confidence: 99%

Research of the Vibration Source Tracking in Phase-Sensitive Optical Time-Domain Reflectometry Signals Based by Image Processing Method

Wang

2018

Algorithms

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“…In this case, the salient object must be rebuilt to capture the target, which poses a challenge for the design of the tracking algorithm. Most previous work on object tracking algorithms presupposes a stable object [4,[17][18][19]. In [17], a constant velocity motion model was applied to the object, and the visual appearance model was assumed to remain stable throughout the video.…”

Section: Introductionmentioning

confidence: 99%

Automatic salient object sequence rebuilding for video segment analysis

Duan

Shang

et al. 2017

Sci. China Inf. Sci.

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Detection of salient object sequences from video data is challenging when the salient object changes between consecutive frames. In this study, we addressed the salient object sequence rebuilding problem with video segment analysis. We reformulated the problem as a binary labeling problem, analyzed the potential salient object sequences in the video using a clustering method, and separated the salient object sequence from the background by applying an energy optimization method. Our proposed approach determines whether temporal consecutive pixels belong to the same salient object sequence. The conditional random field is then learned to effectively integrate the salient features and the sequence consecutive constraints. A dynamic programming algorithm was developed to resolve the energy minimization problem efficiently. Experimental results confirmed the ability of our approach to address the salient object rebuilding problem in automatic visual attention applications and video content analysis.

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GRAM: Grammar-Based Refined-Label Representing Mechanism in the Hierarchical Semantic Parsing Task

Nguyen

2023

Lecture Notes in Computer Science

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High-speed visual target tracking with mixed rotation invariant description and skipping searching

Abstract: The famous three-body problem can be traced back to Isaac Newton in 1680s. In the 300 years since this "three-body problem" was first recognized, only three families of periodic solutions had been found, until 2013 wheň Suvakov and Dmitrašinović [Phys. Rev. Lett. 110, 114301 (2013)

Cited by 6 publications

References 214 publications

Research of the Vibration Source Tracking in Phase-Sensitive Optical Time-Domain Reflectometry Signals Based by Image Processing Method

Research of the Vibration Source Tracking in Phase-Sensitive Optical Time-Domain Reflectometry Signals Based by Image Processing Method

Automatic salient object sequence rebuilding for video segment analysis

GRAM: Grammar-Based Refined-Label Representing Mechanism in the Hierarchical Semantic Parsing Task

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