Sentence examples for multiple video frames from inspiring English sources

Transformations obtained from multiple video frames are averaged and further optimized by bundle adjustment [34].

They generated a sparse representation from multiple video frames for face and body part recognitions.

In this research, a new algorithm is presented for human detection by employing multiple video frames.

Most of them implement data-level fusion for superresolution from multiple video frames, such as [20, 21].

Image enhancement of low-resolution images can be done through methods such as interpolation, super-resolution using multiple video frames, and example-based super-resolution.

In some cases, acceleration was computed from the position of the projectiles in multiple video frames, but in others, the accelerations were accomplished so swiftly that we estimated acceleration from the observed change in velocity during the time interval between two successive frames.

We use the formation of Rayleigh disturbances as a tracing mechanism across multiple high-speed video frames to determine the role that rotational forces, surface tension, viscous forces and wind resistance play on the shape of the liquid filament as well as the formation of resulting droplets.

The proposed solution has been tested on multiple video resolutions and frame rates for visualization of traffic flows.

First, the proposed method locates multiple valid ROIs from video frames in multi-lane.

To deal with many-to-one or one-to-many data associations, Park et al. [29] propose a general formulation called binary integer programming to handle a min-cost data association problem among target-measurement data associations through one-to-one, many-to-one, and one-to-many data associations (also called multi-way data associations) to track multiple interacting targets in video frames.

Our implementation can process video frames from multiple cameras for multi-robot localization with precision and recall rates of 98%.