Answer: Esteem needs
Explanation:
Esteem needs could be described as an acceptance or respect an individual needs from others to strengthen their confidence in that particular endeavor which is related to where they need it.
Jill wants to have that sense of being valued by her boss for the contribution she brings to the organization, these would strengthen her while doing the job and would also show that she given a good appraisal but in the scenario where she doesn't receive such commendation she feels unworthy doing the job and have no sense of growth or development.
Direct Observation, Indirect Observation, Random Sampling and lastly, Mark-and-recapture study.
Answer: Mexico
Explanation: Mexico is a country in the southern part of North America. It shares a boundary with United States to the North, Pacific Ocean to the south and west and Gulf of Mexico to the west.
Mexico is a federal presidential representative democratic republic where the president is both head of state and head of government.
Mexico has 4 Political parties which are: Institutional Revolutionary Party (PRI), National Action Party (PAN), Party of the Democratic Revolution (PRD), and the National Regeneration Movement (MORENA).
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. ...
Learn more about Monocular 3 D Human :
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