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Apidis dataset

Apidis dataset

Name: Apidis dataset

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Language: English

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29 Jul APIDIS basket ball dataset This page gives access to the first acquisition campaign of basket ball data during the APIDIS European project. 30 May - 17 sec - Uploaded by CVLab XWang This is the tracking results presented in the paper submitted to CVIU: "Take your Eyes off the. The code employs the annotated (ground-thruth) information of several cameras from the APIDIS dataset and the obtained global result is plotted on the ground.

tracking results on volleyball, basketball and soccer sequences as follows. Volley1 dataset. Volley2 dataset. Basket1 dataset. Basket2 dataset. APIDIS dataset. See research diagram: APIDIS dataset: typical activities automatically discovered solving (5). from publication: Sorting Atomic Activities for Discovering. Fig. 10 Precision and recall rate with the APIDIS dataset given four cameras (with severely degraded foreground silhouettes). Our proposed approach SCOOP is.

Fig. 6. Tracking basketball players; T-MCNF results on the publicly available APIDIS dataset. The dataset is filmed by seven cameras, two ”fish-eye“ camera and. Apidis Dataset Apidis project basketball dataset. LEAR LEAR collection of datasets and Images - Soccer, Horse, Hollywood. VISOR VIdeo Surveillance Online. In , APIDIS's second year, the major achievements have been: Additional video added to the APIDIS Dataset. This spring and summer, APIDIS partners. We present qualitative and quantitative results with the APIDIS dataset as part of the ICDSC sport challenge. Published in: Distributed Smart Cameras, Hunger and malnutrition: the key datasets you need to know How much food is available? What are people eating? How much do poor people spend on food?.

7 Jun dataset in none of these three cases: the link of VATIC was broken, the APIDIS dataset contained only 2 minutes of a single annotated. 23 Jun datasets (indoor and outdoor), involving 3–5 overlapping cameras and The APIDIS dataset contains frames showing part of a basket-. This table summarises datasets that can be used for the analysis of human interactions. More details and an extended description of state-of-the-art methods for. public APIDIS dataset. Experimental evaluations demon- strate significant improvements compared to state-of-the- art methods, while achieving real-time.


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