18049473. FRAME-BASED VIDEO SEGMENTATION simplified abstract (QUALCOMM Incorporated)
Contents
- 1 FRAME-BASED VIDEO SEGMENTATION
FRAME-BASED VIDEO SEGMENTATION
Organization Name
Inventor(s)
Jiancheng Lyu of San Diego CA (US)
Yingyong Qi of San Diego CA (US)
FRAME-BASED VIDEO SEGMENTATION - A simplified explanation of the abstract
This abstract first appeared for US patent application 18049473 titled 'FRAME-BASED VIDEO SEGMENTATION
Simplified Explanation
The abstract describes a method for frame-based image segmentation, specifically for feature object tracking in video data. The method involves extracting mask features for objects in frames, adjusting frames based on these masks, and tracking objects across consecutive frames.
- Method for feature object tracking in video data
- Extracting mask features for objects in frames
- Adjusting frames based on extracted masks
- Tracking objects across consecutive frames
Potential Applications
The technology can be applied in various fields such as surveillance, video editing, augmented reality, and autonomous vehicles.
Problems Solved
This technology helps in accurately tracking objects in video data, which can be challenging due to variations in lighting, background clutter, and object occlusions.
Benefits
The benefits of this technology include improved object tracking accuracy, enhanced video analysis capabilities, and increased efficiency in processing video data.
Potential Commercial Applications
The technology can be utilized in industries such as security, entertainment, automotive, and robotics for applications like object detection, motion tracking, and scene analysis.
Possible Prior Art
Prior art in image segmentation and object tracking includes traditional methods like background subtraction, optical flow, and template matching. However, the proposed method offers a more advanced and efficient approach to frame-based image segmentation and object tracking.
What are the specific features extracted for object tracking in video data?
The specific features extracted for object tracking in video data include mask features that represent the objects of interest in each frame.
How does the method adjust frames based on the extracted masks?
The method adjusts frames by applying the initial masks and corresponding identifications to the respective objects in each frame, ensuring accurate object tracking across consecutive frames.
Original Abstract Submitted
Methods and systems of frame based image segmentation are provided. For example, a method for feature object tracking between frames of video data is provided. The method comprises receiving a first frame of video data, extracting a mask feature for each of one or more objects of the first frame, adjusting the first frame by applying each initial mask and corresponding identification to a respective object of the first frame, and outputting the adjusted first frame. The method further comprises tracking the one or more objects in one or more consecutive frames. The tracking comprises extracting a masked feature for each of one or more objects in the consecutive frame, adjusting the consecutive frame by applying each initial mask and corresponding identification for the consecutive frame to the respective object of the one or more objects of the consecutive frame, and outputting the adjusted consecutive frame.
