Markerless motion capture and understanding of professional non-daily human movements is an important yet unsolved task, which suffers from complex motion patterns and severe self-occlusion, especially for the monocular setting. In this paper, we propose SportsCap -- the first approach for simultaneously capturing 3D human motions and understanding fine-grained actions from monocular challenging sports video input.
About SportCaps :
SportsCap proposes a challenging sports dataset called Sports Motion and Recognition Tasks (SMART) dataset, which contains per-frame action labels, manually annotated pose, and action assessment of various challenging sports video clips from professional referees.
Their approaches :
This is especially prevalent in non-daily action classes like fitness and sports domains. This can be mitigated, for example, by annotating domain-specific datasets , but that requires a considerable amount of manual annotation efforts, financial resources, and 3D annotations can only be obtained in controlled conditions. Therefore, we propose to learn domain-specific pose-sensitive representations from unlabeled videos, which can be fine tuned using only a small labeled dataset. ...
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Answer:
Many of their natural resources are found in remote areas
Answer:
it's a alarmed and angry
Explanation:
the reason why it's a is because she hissed " boy, what are you doing here?"
she was alarmed and angry.
because back before philosophy ever existedpeople would go to myths when they had unanswered questions.
From the story that told in the myth, people analyze the events that happened to the characters in the myth and took some sort of life lesson regarding a certain value/principles.<span />
Since it has the most Red, I'd say the US (d).
