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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It is saying that the army can’t demand and force you to accept them and feed them in your own house in war or peace but if you give them consent (permission) then they can.
To advise the President on any subject he may require relating to the duties of each member's respective office.
Answer: Pets who learn that the sound of an electric can opener signals the arrival of their food illustrate: C.) classical conditioning.
Explanation: These pets have been experiencing Pavlovian Conditioning, this is the conditioning response of associating the (neutral stimulus) sound of the can opener with receiving food (biological stimulus).
