Forgery detection of motion compensation interpolated frames based on discontinuity of optical flow

Ding, Xiangling; Huang, Yang; Li, Yue; He, Jiale

doi:10.1007/s11042-020-09340-4

Cited by 10 publications

(1 citation statement)

References 35 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Particle filtering is a method that uses many random particles to approximate the real state of the target, which is widely used in target tracking algorithms because of its good applicability to nonlinear motion models and non-Gaussian distribution of the target [15]. After extracting the possible candidate regions of the target through motion estimation, we can accurately locate the target in the candidate regions through the target localization method [16]. e disadvantage of this algorithm is that it cannot generate a high-density flow vector.…”

Section: Introductionmentioning

confidence: 99%

An Algorithm for Motion Estimation Based on the Interframe Difference Detection Function Model

Zhang

Kang

2021

Complexity

View full text Add to dashboard Cite

In this paper, we simulate the estimation of motion through an interframe difference detection function model and investigate the spatial-temporal context information correlation filtering target tracking algorithm, which is complex and computationally intensive. The basic theory of spatiotemporal context information and correlation filtering is studied to construct a fast target tracking method. The different computational schemes are designed for the flow of multiframe target detection from background removal to noise reduction, to single-frame detection, and finally to multiframe detection, respectively. This enables the ground-based telescope to effectively detect spatial targets in dense stellar backgrounds in both modes. The method is validated by simulations and experiments and can meet the requirements of real projects. The interframe bit attitude estimation is optimized by using the beam-parity method to reduce the interframe estimation noise; a global optimization strategy based on the bit attitude map is used in the back end to reduce the system computation amount and make the global bit attitude estimation more accurate; a loop detection based on the word pocket model is added to the system to reduce the cumulative error.

show abstract

Section: Introductionmentioning

confidence: 99%