Camera Synchronization for Panoramic Videos

Gaddam, Vamsidhar Reddy; Langseth, Ragnar; Stensland, Håkon Kvale; Griwodz, Carsten; Riegler, Michael; Kupka, Tomas; Espeland, Håvard; Johansen, Dag; Johansen, Håvard D.; Halvorsen, Pål

doi:10.1007/978-3-319-65840-7_20

“…The timing of the tagged event and video must be synced here. As a result, the mobile device synchronizes its regional time with NTP machines [25]. Nonetheless, it is simply a secondgranularity time-sync requirement.…”

Section: F Coach Annotation Systemmentioning

confidence: 99%

Video Analytics in Elite Soccer: A Distributed Computing Perspective

Jha¹,

Rauniyar²,

Johansen³

et al. 2022

Preprint

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Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine learning, image and video processing, have been developed for performance evaluation, allowing the analyst to track the performance of a player in real-time. Following FIFA's 2015 approval of electronics performance and tracking system during games, performance data of a single player or the entire team is allowed to be collected using GPS-based wearables. Data from practice sessions outside the sporting arena is being collected in greater numbers than ever before. Realizing the significance of data in professional soccer, this paper presents video analytics, examines recent state-of-the-art literature in elite soccer, and summarizes existing real-time video analytics algorithms. We also discuss real-time crowdsourcing of the obtained data, tactical and technical performance, distributed computing and its importance in video analytics and propose a future research perspective.

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“…This task is called local clock synchronization . For instance, multi-view camera systems require sub-millisecond synchronization accuracy for capturing high-dynamic scenes [ 2 ].…”

Section: Introductionmentioning

confidence: 99%

Twist-n-Sync: Software Clock Synchronization with Microseconds Accuracy Using MEMS-Gyroscopes

Faizullin

¹

,

Kornilova

²

,

Akhmetyanov

³

et al. 2020

Sensors

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Sensor networks require a high degree of synchronization in order to produce a stream of data useful for further purposes. Examples of time misalignment manifest as undesired artifacts when doing multi-camera bundle-adjustment or global positioning system (GPS) geo-localization for mapping. Network Time Protocol (NTP) variants of clock synchronization can provide accurate results, though present high variance conditioned by the environment and the channel load. We propose a new precise technique for software clock synchronization over a network of rigidly attached devices using gyroscope data. Gyroscope sensors, or IMU, provide a high-rate measurements that can be processed efficiently. We use optimization tools over the correlation signal of IMU data from a network of gyroscope sensors. Our method provides stable microseconds accuracy, regardless of the number of sensors and the conditions of the network. In this paper, we show the performance of the gyroscope software synchronization in a controlled environment, and we evaluate the performance in a sensor network of smartphones by our open-source Android App, Twist-n-Sync, that is publicly available.

show abstract

Video Analytics in Elite Soccer: A Distributed Computing Perspective

Jha

¹

,

Rauniyar

²

,

Johansen

³

et al. 2022

2022 IEEE 12th Sensor Array and Multichannel Signal Processing Workshop (SAM)

2

0

View full text Add to dashboard Cite

Ubiquitous sensors and Internet of Things (IoT) technologies have revolutionized the sports industry, providing new methodologies for planning, effective coordination of training, and match analysis post game. New methods, including machine learning, image and video processing, have been developed for performance evaluation, allowing the analyst to track the performance of a player in real-time. Following FIFA's 2015 approval of electronics performance and tracking system during games, performance data of a single player or the entire team is allowed to be collected using GPS-based wearables. Data from practice sessions outside the sporting arena is being collected in greater numbers than ever before. Realizing the significance of data in professional soccer, this paper presents video analytics, examines recent state-of-the-art literature in elite soccer, and summarizes existing real-time video analytics algorithms. We also discuss real-time crowdsourcing of the obtained data, tactical and technical performance, distributed computing and its importance in video analytics and propose a future research perspective.

show abstract

Camera Synchronization for Panoramic Videos

Cited by 4 publications

References 47 publications

Video Analytics in Elite Soccer: A Distributed Computing Perspective

Video Analytics in Elite Soccer: A Distributed Computing Perspective

Twist-n-Sync: Software Clock Synchronization with Microseconds Accuracy Using MEMS-Gyroscopes

Video Analytics in Elite Soccer: A Distributed Computing Perspective

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