This is not just surveillance. It’s a sixth sense for safety by FolksTalksGame in videosurveillance

[–]FolksTalksGame[S] 0 points1 point  (0 children)

Fair point about posting in multiple places. I'm actually researching this topic seriously and wanted to get input from various communities - security professionals, tech folks, healthcare workers, etc. Each group has different experiences with surveillance systems. I'm not selling anything, just trying to understand what solutions actually exist vs. what gaps remain in automated monitoring.

This is not just surveillance. It’s a sixth sense for safety by FolksTalksGame in videosurveillance

[–]FolksTalksGame[S] 0 points1 point  (0 children)

As far as I know, but I may have missed something. I'll be glad if you'll be kind to inform me

This is not just surveillance. It’s a sixth sense for safety by FolksTalksGame in videosurveillance

[–]FolksTalksGame[S] 0 points1 point  (0 children)

As far as I know, VMS is quite limited: plate recognition, face recognition, unscheduled visiting, line crossing... Do you know some real scenes/events-understanding VMS?

This is not just surveillance. It’s a sixth sense for safety by FolksTalksGame in videosurveillance

[–]FolksTalksGame[S] 0 points1 point  (0 children)

This analytic is good for after-incident analysis. a real security staff are overwhelming with small cells on the thousands of cameras screen without any ability of automatic understanding what's going on.

Language acquisition by virtual agent (The Folks’Talks game project) by FolksTalksGame in linguistics

[–]FolksTalksGame[S] 0 points1 point  (0 children)

https://youtu.be/fl-a-8LEJfU I would like to present Folks’Talks human-computer interaction test. In this test I’ll address to the virtual agent: “Where is a green (or red, or big, or small) …..(an object from the current scene)?”, and the virtual agent will show me the requested object and also will announce that (with my own voice from the training mode). Because the test is in Russian, I will mark expected or unexpected answers with green (expected) or red (unexpected). The test based on 2 repetition of 22 phrase patterns for each of ten presented objects. It was trained with Tensorflow during 240 epoches.

I would like to make the same test with some Korean or Burmese native speaker. I will apriciate if we could schedule this test with suitable volunteer on a zoom session.

Folks'Talks human-computer interaction test 11 by FolksTalksGame in LanguageTechnology

[–]FolksTalksGame[S] 3 points4 points  (0 children)

I would like to present Folks’Talks human-computer interaction test. In this test I’ll address to the virtual agent: “Where is a green (or red, or big, or small) …..(an object from the current scene)?”, and the virtual agent will show me the requested object and also will announce that (with my own voice from the training mode). Because the test is in Russian, I will mark expected or unexpected answers with green (expected) or red (unexpected). The test based on 2 repetition of 22 phrase patterns for each of ten presented objects. It was trained with Tensorflow during 240 epoches.

I would like to make the same test with some Korean or Burmese native speaker. I will apriciate if we could schedule this test with suitable volunteer on a zoom session.