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Time of Photo-Capture to estimate abundance and Spatial Distribution of Tigers

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Tiger, pixabay

Kolkata, May 22, 2017: A new method developed by experts incorporates the time of the photo-capture to estimate abundance and spatial distribution of tigers and helps represent data closer to reality, a statement said on Monday.

Seventy percent of wild tigers are concentrated in less than six percent of remaining habitats worldwide. Science-based management is critical for tiger conservation. Spatial capture-recapture (SCR) model analysis is often used to estimate tiger abundance.

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A new study led by Robert Dorazio of the United States Geological Survey, and co-authored by Ullas Karanth, Wildlife Conservation Society Director for Science in Asia, exploits all information provided by the SCR data, obtained using continuous-time recorders i.e. camera-traps.

Dates and times of animal detections are fundamental considerations to designing and implementing a conservation strategy.

Traditionally time-data is discarded during analysis despite availability of the information in camera-trap data.

The new model estimates the spatial distribution and abundance of animals by making full use of location of photo-capture data and time of photo-capture data – which is a significant advance from traditional SCR analysis which uses only location of photo-capture data.

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Dorazio said: “Modeling photo-capture times of tigers and other large carnivores uses all of the information in the data and gives us a chance to learn more about the behaviors and movements of these animalsa” information that is crucial to their conservation.”

“We are now able to exactly incorporate the time of capture into the data analysis. This gives us more power to mimic nature in the sense of how tigers actually get ‘trapped’ in cameras, and how their movement, behavior, and space-use relate to time. This is a significant advance,” Karanth said.

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The scientists illustrated this model by analysing spatial and temporal patterns evident in the camera-trap detections of tigers living in and around Nagarahole Tiger Reserve in Karnataka.

The study is published in the current issue of PLOS ONE journal. (IANS)

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Social Media Giant Facebook Makes Photo, Video Matching Tech Available For all

Hashes can also be more easily shared with other companies and non-profits, said Facebook

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Facebook, Data, Privacy
FILE - The entrance sign to Facebook headquarters in Menlo Park, Calif., Oct. 10, 2018. VOA

Facebook has open-sourced its photo and video matching technologies for people to identify harmful content such as child exploitation, terrorist propaganda or graphic violence.

The two Facebook technologies can detect identical and nearly identical photos and videos.

“These algorithms will be open-sourced on GitHub so our industry partners, smaller developers and non-profits can use them to more easily identify abusive content and share hashes or digital fingerprints of different types of harmful content,” Guy Rosen, Vice President of Integrity at Facebook, said in a statement late Thursday.

“For those who already use their own or other content matching technology, these technologies are another layer of defence and allow hash-sharing systems to talk to each other, making the systems that much more powerful,” added Antigone Davis, Global Head of Safety.

According to John Clark, President and CEO of the National Center for Missing and Exploited Children (NCMEC) in the US, in just one year, they witnessed a 541 per cent increase in the number of child sexual abuse videos reported by the tech industry to the CyberTipline.

Corporate, America, Climate Change
FILE – In this April 30, 2019, file photo, Facebook stickers are laid out on a table at F8, Facebook’s developer conference in San Jose, Calif. The Boston-based renewable energy developer Longroad Energy announced in May that Facebook is building a… VOA

“We are confident that Facebook’s generous contribution of this open-source technology will ultimately lead to the identification and rescue of more child sexual abuse victims,” said Clark.

Building on Microsoft’s generous contribution of PhotoDNA to fight child exploitation 10 years ago and the more recent launch of Google “Content Safety API”, the Facebook’s announcement is part of an industry-wide commitment to building a safer internet.

Known as “PDQ” and “TMK+PDQF”, these technologies are part of a suite of tools used at Facebook to detect harmful content.

Also Read: Google Stops Listening to EU Voice Recordings, Probe Begins

The technologies create an efficient way to store files as short digital hashes that can determine whether two files are the same or similar, even without the original image or video.

Hashes can also be more easily shared with other companies and non-profits, said Facebook.(IANS)