Synthesizing Plausible Videos by Introducing Favorable Object Pose Using Trajectory Matching

Video is a mean of keeping our memories in a chronological way. Due to the proliferation of handheld devices embedded with high-resolution camera, people became fond of filming themselves everywhere. Yet, not always, people are in their best appearance and mood. Sometimes, they come across scenery sites and they want to record this moment. However, due to the lack of filming experience and the sudden of the event, the output video is below the expectation. In this paper, we propose a workflow to produce a plausible video of the people. The workflow introduced the appearance and behavior depicted in another clip of the user into the recorded outing scenery clip. The workflow considered the variance in both the size and the trajectory of the user during a fixed-camera video. The validity of the workflow is demonstrated by conducting two experiments where the input videos are recorded with different cameras in different circumstances to produce a plausible video. The output video is composed of the background from the scenery video and the foreground object and behavior from the raw data video.