Dragonflies predict and plan their hunts
نویسندگان
چکیده
منابع مشابه
Motor Control: How Dragonflies Catch Their Prey
Detailed measurements of head and body motion have revealed previously unknown complexity in the predatory behavior of dragonflies. The new evidence suggests that the brains of these agile predators compute internal models of their own actions and those of their prey.
متن کاملEvolution of Dragonflies
All life began from a common ancestor. According to most scientists, animal life is thought to have evolved from a flagellated protist. This protist evolved by a cellular membrane folding inward, which became the first digestive system in the Animalia kingdom (Campbell, Reece &, Mitchell, 1999). As time went on, the animalia kingdom became more diversified and the class Arthropoda arose. Arthro...
متن کاملLinking biomechanics and ecology through predator-prey interactions: flight performance of dragonflies and their prey.
Aerial predation is a highly complex, three-dimensional flight behavior that affects the individual fitness and population dynamics of both predator and prey. Most studies of predation adopt either an ecological approach in which capture or survival rates are quantified, or a biomechanical approach in which the physical interaction is studied in detail. In the present study, we show that combin...
متن کاملDetecting Hunts in Wildlife Documentaries
We propose a multi-level video event detection methodology and apply it to animal hunt detection in wildlife documentaries. The proposed multi-level approach has three levels. The rst level extracts color, texture, and motion features, and detects moving object blobs. The mid-level employs a neural network to verify whether the moving object blobs belong to animals. This level also generates sh...
متن کاملDetecting Hunts in Wildlife Videos
Niels C. Haering Richard J. Qian M. Ibrahim Sezan University of Central Florida Sharp Labs of America Orlando, FL 32816 Camas, WA 98607 Abstract We propose a three-level algorithm to detect animal hunt events in wildlife documentaries. The rst level extracts texture, color and motion features, and detects motion blobs. The mid-level employs a neural network to verify the relevance of the detect...
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ژورنال
عنوان ژورنال: Nature
سال: 2014
ISSN: 0028-0836,1476-4687
DOI: 10.1038/nature14078