Moving Vehicle Detection Based on Optical Flow Method and Shadow Removal

Sun, Min; Sun, Wei; Zhang, Xiaorui; Zhu, Zhangming; Li, Mian

doi:10.1007/978-3-030-48513-9_36

Cited by 2 publications

(3 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Optical flow is the instantaneous velocity distribution of the brightness pattern, which is caused by the movements of objects [33,34] and has been applied widely for motion analysis. In recent studies, the optical flow was used to estimate the traffic flow parameters of moving vehicles in different scenarios and shew effectiveness [35,36]. Lv et al realized subpixel image registration based on the optical flow model and feature-point matching [37].…”

Section: Optical Flowmentioning

confidence: 99%

See 1 more Smart Citation

Coverless Steganography Based on Motion Analysis of Video

Tan

Qin

Xiang

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

With the rapid development of interactive multimedia services and camera sensor networks, the number of network videos is exploding, which has formed a natural carrier library for steganography. In this study, a coverless steganography scheme based on motion analysis of video is proposed. For every video in the database, the robust histograms of oriented optical flow (RHOOF) are obtained, and the index database is constructed. The hidden information bits are mapped to the hash sequences of RHOOF, and the corresponding indexes are sent by the sender. At the receiver, through calculating hash sequences of RHOOF from the cover video, the secret information can be extracted successfully. During the whole process, the cover video remains original without any modification and has a strong ability to resist steganalysis. The capacity is investigated and shows good improvement. The robustness performance is prominent against most attacks such as pepper and salt noise, speckle noise, MPEG-4 compression, and motion JPEG 2000 compression. Compared with the existing coverless information hiding schemes based on images, the proposed method not only obtains a good trade-off between hiding information capacity and robustness but also can achieve higher hiding success rate and lower transmission data load, which shows good practicability and feasibility.

show abstract

Section: Optical Flowmentioning

confidence: 99%

“…Video recognition has been studied in depth by a lot of researchers, and many algorithms have been proposed. Optical flow c is the most classical method for video analysis [33][34][35][36][37]. In this work, we mainly study the optical flow characteristics of video and map them with hidden information to realize coverless steganography.…”

Section: Introductionmentioning

confidence: 99%

Coverless Steganography Based on Motion Analysis of Video

Tan

Qin

Xiang

et al. 2021

Security and Communication Networks

View full text Add to dashboard Cite

show abstract

“…Tracking techniques have also been attached to vehicle counting as a beneficial capability of using vision-based traffic assessment. Shadow is still considered one of the big challenges facing researchers, in [10]- [12] made their contributions in this regard. Panoramic view has been suggested by [13] to provide a 360-degrees angle of surveillance.…”

Section: Introductionmentioning

confidence: 99%

Traffic flow measurement for smart traffic light system design

Al-Momin,

Alkhafaji,

Al-Musawi

2023

TELKOMNIKA

View full text Add to dashboard Cite

Determining congestions on intersection roads can significantly improve the performance of a traffic light system. One of the everyday problems on our roads nowadays is the unbalanced traffic on different roads. The blind view of roads and the dependency on the conventional timer-based traffic light systems can cause unnecessary delays on some arterial roads on expense of offering a needless extra pass time on some other secondary minor roads. In this paper, a foreground extraction model has been built in MATLAB platform to measure the congestions on the different roads constructing an intersection. Results show a satisfactory performance in terms of accuracy in counting cars and in consequence reducing the wait time on some major roads. System was tested under different weather and lighting conditions, and results were adequately promising.

show abstract

Moving Vehicle Detection Based on Optical Flow Method and Shadow Removal

Cited by 2 publications

References 2 publications

Coverless Steganography Based on Motion Analysis of Video

Coverless Steganography Based on Motion Analysis of Video

Traffic flow measurement for smart traffic light system design

Contact Info

Product

Resources

About