iPi Motion Capture™ is a tool to track 3D human body motions and produce 3D animation
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Cameras and Accessories
Quick Start Guide for Multiple Action Cameras Configuration
User Guide for Multiple PS Eye Cameras Configuration
User Guide for Multiple PS Eye Cameras Configuration
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Sample Video and Project (four PS Eye)
Sample Video and Project (six C922)
Sample Video and Project (single depth sensor)
Sample Video and Project (two depth sensors)
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ipiSoft Mocap Studio Beginner honest Tutorial ( учебник по захвату движения через ipiSoft )
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Галилео. Motion capture
Технологии захвата движения: Игры
КАК СОЗДАЕТСЯ ИГРОВАЯ АНИМАЦИЯ
Дневник разработчика #1 Бюджетный Motion Capture
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MOTION CAPTURE СВОИМИ РУКАМИ ЧАСТЬ ПЕРВАЯ
MOTION CAPTURE СВОИМИ РУКАМИ ЧАСТЬ 2
Motion Capture Systems VICON
Qualisys campaign introducing-miqus-underwater Dive into Motion Capture Continue reading
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3D Character Animation Xsens motion capture solutions are unmatched in ease-of-use, robustness and reliability. Xsens mocap produces production-ready data and is the ideal tool for professional animators.
Movement Sciences Flexible, easy-to-use human movement analysis tools
Prime 17W for $3,499
Flex 3 from $599
Flex 3 from $599
iPi Version 4: Four GoPro Sample Project
3D for the people: multi-camera motion capture in the field with consumer-grade cameras and open source software
Can anyone suggest a camera for video-based sports motion capture?
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Camera lens selection principle and monitoring angle:
Surveillance camera lens selection of the parameter value is greater, the more narrow the look, and vice versa, the smaller the lens parameters, the smaller the wider.
For example, want to see 10 meters need 3.6-4MM camera lens, 20 meters need 6MM camera lens and 30 meters need 8MM camera lens.
40 meters need 12MM lens, 50 meters need 16MM lens
With the environment, all according to the actual selection.
Monitor camera select 1/3 lens for example monitoring angle:
Surveillance camera lens 2.1MM small lens — monitoring angle 150 degrees;
Surveillance camera lens 2.5MM small lens — monitoring angle 130 degrees;
Surveillance camera lens 2.8MM small lens — monitoring angle 115 degrees;
Surveillance camera lens 3.6MM small lens — monitoring angle 80-96 degrees;
Surveillance camera lens 4MM- monitoring angle 78-80 degrees;
The camera lens 6MM- monitoring perspective 53-60;
The camera lens 8MM- monitoring perspective 40-45;
The camera lens 12MM- monitoring perspective 23-30;
To monitor the camera monitoring 16MM- angle 15-17 degrees;
New Motion Capture Suit Can Record Movement On The Go
Xsens is doing away with the motion capture markers and volumes, letting you record movement data wherever you need to be.
A new motion capture suit has the potential to transform the way we perform motion capture, freeing it from traditional motion capture set-ups, and providing a new way for producers and businesses to obtain high-quality motion capture data for animation and ergonomic analysis.
Netherlands-based 3D motion tracking company XSens has been developing a new kind of motion capture technology that doesn’t require the kind of advanced staging that traditional motion capture uses, freeing the motion capture performer to record movement wherever—and in whatever environment—they need to.
SEE ALSO: THIS VIDEO CAPTURES WHAT HAPPENS WHEN YOU JUMP ONTO A MASSIVE WATER BALLOON IN AMAZING SLOW MOTION
The company’s MVN product line uses motion capture technology that utilizes inertial sensors rather than the typical markers, volumes, and cameras. The MVN line features two different motion capture set-ups to provide “Production-ready” motion capture data.
The MVN Awinda uses seventeen wireless trackers that are wrapped around parts of a performers body, such as a headband, wrist bands, and arm and leg bands, that transmit movement data up to 60 ft indoors or 150 feet outdoors to a backpack called an Awinda station where the data is recorded or streamed for live processing.
The other product is the MVN Link, a lycra bodysuit with wireless trackers built in and is much more robust than the MVN Awinda. The suit comes in 5 different sizes and has a wireless range indoors of about 150 ft and an outdoor range of 450 ft, though the company indicates that this range is extendable. All actors using the MVN Link transmit to a central data link that records or streams their data.
When we spoke to XSens back in Las Vegas for CES 2019, general manager for XSens, Boele De Bie, explained how even though their products are right at home doing production level motion capture for major films, their technology is just as useful outside of an animation studio in Hollywood.
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“if a car manufacturer wants to set up an assembly line and he wants to make sure that workers there are working in an ergonomic, safe way,” De Bie said, “then the products that we have can be used by the car manufacturer to model the line up front.”
“He can integrate the models the workers into the CAD design of the assembly setup and then he can calculate the stress and strain on the human body.”
Not only that, De Bie said, the same technology can be just as useful in validating the ergonomic safety of the assembly line once it’s built.
“The suit can be used to validate the stress and strain,” he said. “So that means that upfront when you do a design of an assembly line…you can use our suits to test it. In fact, you can already qualify the assembly line for the [government health and safety requirements] that there are in terms of ergonomic safety, health, and related aspects.”
Visualizing Human Motion
AI System Creates 3D ‘Motion Sculptures’ Using Video Footage
MIT CSAIL have created a system called MoSculp that allows viewers to interpret how different parts of the human body react at different times.
MIT CSAIL has released some mesmerizing footage of a system that visualizes complex human motion via 3D motion sculptures. The video shows how the system creates a 3D structure swept by a human body as it moves through space.
The system, called MoSculp is first fed an input video. The system then embeds it back into the scene in a 3D-aware fashion. MIT CSAIL says users of the system can customize the sculpture design by selecting different materials and lighting conditions.
By visualizing movement with this system, human movement can begin to be understood in ways that are impossible when viewing purely with the naked eye. The motion sculptures reveal space-time motion information that allows viewers to interpret how different parts of the human body react at different times.
The system has potential to be used by both professional athletes and their coaches as well as doctors and other practitioners working to understand a human movement that could assist with the development of mobility aids and prosthetics.
“Imagine you have a video of Roger Federer serving a ball in a tennis match, and a video of yourself learning tennis,” says Ph.D. student Xiuming Zhang, lead author of a new paper about the system. “You could then build motion sculptures of both scenarios to compare them and more comprehensively study where you need to improve.”
The research team will present their paper on MoSculp next month at the User Interface Software and Technology (UIST) conference in Berlin, Germany.
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