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Protocols
Duration: 10am - 11am
Participants: Samad, Mohammad, Nico
Reports:
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Computation of both features from the paper Human Fall Detection Based on Body Posture Spatio-Temporal Evolution are finished
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Samad and Mohammad demonstrate the current status by computing the features in real-time using a test video
Discussion:
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Samad and Mohammad see tracking of multiple persons as a possible future problem.
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Additionally, once a person has fallen, openpifpaf does not detect them anymore.
Todo:
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Combine both features (rotation energy, generalized force) into a single algorithm.
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Download the video data from the UP-Fall Detection Dataset and re-organize it such that there is one folder for each activity containing the videos from all subjects.
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Develop a version of the algorithm without any GUI elements that runs similar to a "batch" process on all videos within a folder and stores the data.
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Develop a script that plots the computed data for each folder/activity in a single plot
Next meeting: Date will be discussed in Telegram
Duration: 5pm - 6pm
Participants: Samad, Mohammad, Nico
Reports:
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The algorithm was restructured, making data exchange between parallel processes more effective
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Nico will ask Prof Deserno to join us in week 20 and writes another email regarding the dataset
Next meeting: 2020/05/03
Duration: 1pm - 2pm
Participants: Samad, Mohammad, Nico
Reports:
- Mohammad and Samad started working on Human Fall Detection Based on Body Posture Spatio-Temporal Evolution
Discussion:
- Nico will write an e-mail to the authors if they can provide the video data. If they do not reply, we will make use of the UP-Fall Detection Dataset
Duration: 1pm - 2pm
Participants: Samad, Mohammad, Nico
Reports:
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Openpifpaf is working nicely with and without CUDA support
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An interface was developed that stores the data in .CSV files
Discussion:
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We need to run openpifpaf in a thread to add the algorithm for fall detection in a concurrent thread
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Subsequently, we will decide if Samad and Mohammad will work on the same algorithm for fall detection or develop different algorithms in parallel.
Next meeting: 2020/04/24 or 2020/04/25 depending on how easily multithreading can be implemented
Duration: 1pm - 2pm
Participants: Mohammad, Nico
Discussion:
- We discuss a first algorithm. We decide to use OpenPifPaf for pose estimation and develop an interface to acquire the data
Next meeting: 2020/04/22 1pm
Duration: 8pm - 9pm
Participants: Mohammad, Samad, Nico
Reports:
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Mohammad took a look at implementations with OpenPose not running but OpenPifPaf running smoothly on his laptop
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Samad took a look at research papers and summarized them (Google Docs)
Discussion:
- We discuss the general structure of the algorithm. From a meta perspective it will be something like:
Todo:
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Fill the (Google Docs) with relevant papers and algorithms
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Get to run favorite algorithm and demonstrate it in next meeting
Next meeting: 2020/04/20 1pm