Search Results - "Zuniga, Marcos D"

LoRa Based IoT Platform for Remote Monitoring of Large-Scale Agriculture Farms in Chile by Ahmed, Mohamed A, Gallardo, Jose Luis, Zuniga, Marcos D, Pedraza, Manuel A, Carvajal, Gonzalo, Jara, Nicolás, Carvajal, Rodrigo

“…Nowadays, conventional agriculture farms lack high-level automated management due to the limited number of installed sensor nodes and measuring devices. Recent…”
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Automatic Registration of Footsteps in Contact Regions for Reactive Agility Training in Sports by Latorre, Eduardo C, Zuniga, Marcos D, Arriaza, Enrique, Moya, Fabian, Nikulin, Christopher

“…In collective sports, reactive agility training methodologies allow to evaluate and improve the player performance, being able to consider a mixture of…”
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Hierarchical and incremental event learning approach based on concept formation models by Zúñiga, Marcos D., Brémond, François, Thonnat, Monique

“…We propose an event learning approach for video, based on concept formation models. This approach incrementally learns on-line a hierarchy of states and event…”
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Real-time reliability measure-driven multi-hypothesis tracking using 2D and 3D features by Zúñiga, Marcos D, Brémond, François, Thonnat, Monique

“…We propose a new multi-target tracking approach, which is able to reliably track multiple objects even with poor segmentation results due to noisy…”
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Robust automatic net damage detection and tracking on real aquaculture environment using computer vision by Labra, Julio, Zuniga, Marcos D., Rebolledo, Javier, Ahmed, Mohamed A., Carvajal, Rodrigo, Jara, Nicolás, Carvajal, Gonzalo

“…Sea cage inspection is a crucial task in marine aquaculture for both controlling the quality in the fish development process and the environmental impact of…”
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Hierarchical and incremental event learning approach based on concept formation models: Behaviours in video by ZUNIGA, Marcos D, BREMOND, François, THONNAT, Monique

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Bullet-Proof Robust Real-Time Ball Tracking by Cardenas, Daniel G., Zuniga, Marcos D.

“…This paper proposes a novel ball tracking approach for coping with difficult situations as occlusion and fast object movement, in the context of collective…”
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Real-time reliability measure-driven multi-hypothesis tracking using 2D and 3D features: Doc 124 by Zúñiga, Marcos D, Brémond, François, Thonnat, Monique

“…We propose a new multi-target tracking approach, which is able to reliably track multiple objects even with poor segmentation results due to noisy…”
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