Nvidia corporation (20240112356). ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES simplified abstract
Contents
- 1 ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES
- 1.1 Organization Name
- 1.2 Inventor(s)
- 1.3 ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES - A simplified explanation of the abstract
- 1.4 Simplified Explanation
- 1.5 Potential Applications
- 1.6 Problems Solved
- 1.7 Benefits
- 1.8 Potential Commercial Applications
- 1.9 Possible Prior Art
- 1.10 Original Abstract Submitted
ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES
Organization Name
Inventor(s)
Karthick Sekkappan of Pune (IN)
Aurobinda Maharana of Chinchwad (IN)
ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES - A simplified explanation of the abstract
This abstract first appeared for US patent application 20240112356 titled 'ESTIMATING FLOW VECTORS FOR OCCLUDED CONTENT IN VIDEO SEQUENCES
Simplified Explanation
The patent application describes systems and methods for estimating optical flow vectors for occluded pixels in a video sequence, identifying regions of occluded pixels, and determining the cause of occlusion. Different estimation techniques are applied based on the cause of occlusion to provide a lightweight estimation of optical flow data.
- Estimation of optical flow vectors for pixels occluded due to movement out of a frame is done using a first technique.
- Estimation of optical flow vectors for pixels occluded due to foreground movement is done using a second technique.
Potential Applications
This technology can be applied in various fields such as video surveillance, autonomous driving, augmented reality, and robotics.
Problems Solved
1. Improved estimation of optical flow vectors for occluded pixels. 2. Efficient identification and handling of occluded regions in video sequences.
Benefits
1. Enhanced accuracy in estimating optical flow data. 2. Reduced computational resources required for optical flow estimation. 3. Better understanding of occlusion causes in video sequences.
Potential Commercial Applications
Optical flow estimation software for video editing applications. Real-time object tracking systems for security and surveillance. Autonomous vehicle navigation systems for obstacle detection and avoidance.
Possible Prior Art
One possible prior art could be the use of traditional optical flow estimation techniques that do not specifically address occluded pixels and their causes.
What are the limitations of the proposed system in handling complex occlusion scenarios?
The proposed system may struggle with highly dynamic scenes where multiple objects occlude each other simultaneously, leading to challenges in accurately estimating optical flow vectors for all occluded pixels.
How does the proposed system compare to existing methods in terms of computational efficiency?
The proposed system aims to provide a lightweight and less resource-intensive estimation of optical flow data compared to traditional methods, making it more efficient for real-time applications.
Original Abstract Submitted
systems and methods estimate optical flow vectors for occluded pixels between frames of a video sequence. regions of occluded pixels may be identified and a cause of their occlusion may be determined. different estimation techniques may be applied based, at least in part, on the cause of occlusion to provide a lightweight, less resource intensive estimation of optical flow data. optical flow vectors for pixels that are occluded due to movement out of a frame may be estimated using a first technique while optical flow vectors for pixels that are occluded due to foreground movement may be estimated using a second technique.
