Start draft of paper

README.rst

@@ -153,13 +153,19 @@ I'll continue to refine this section.
 Apparently Roomba has an indoor poop dataset: https://www.engadget.com/irobot-roomba-j-7-object-poop-detection-040152887.html It would be interesting to combine the indoor / outdoor datasets, but we are more concerned about outdoor detection. Maybe Boston Dynamics and Roomba can take this dataset and do something interesting.
 
 The MSHIT fake dog poop dataset: https://www.kaggle.com/mikian/dog-poop is similar to this domain, but not the real-deal.
-This may be relevant, but I have not looked too deeply into it yet.
+THe dataset consists of 3.89GB of real images with fake poop (e.g. plastic
+poop) in controlled environments.
 
 There is Human Poop Classification: https://seed.com/poop/ and https://www.theverge.com/2019/10/29/20937108/poop-database-ai-training-photo-upload-first-mit but this is not our domain.
 
 Detect Images of Dogs Pooping: https://colab.research.google.com/github/matthewchung74/blogs/blob/dev/Dog_Pooping_Dectron.ipynb
 Unfortunately, this is detecting the action, and not the consequence.
 
+Calab Olson trained a dog-pose recognition network to detect when a specific dog was pooping.
+https://github.com/calebolson123/DogPoopDetector
+https://calebolson.com/blog/2022/01/14/dog-poop-detector.html
+https://www.youtube.com/watch?v=uWZu3rnj-kQ
+
 A Dog Poop DNA database could be used in conjunction with this work: https://www.bbc.com/news/uk-england-somerset-56324906
 
 A 2019 Project by Neeraj Madan: https://www.youtube.com/watch?v=qGNbHwp0jM8
@@ -174,6 +180,7 @@ The TACO dataset is Trash Annotations in Context. It could be the case that this
 
 SnapCrap: An app to report poop on the streets of San Francisco
 https://medium.com/@miller.stowe/snapcrap-why-i-built-an-app-to-report-poop-on-the-streets-of-san-francisco-aac12382a7ce
+It is now defunct and no longer available.
 
 Other related links I haven't gone through well enough yet:
 

papers/application-2024/.gitignore

@@ -0,0 +1,10 @@
+*.log
+*.brf
+*.blg
+*.bbl
+*.aux
+*.pdf
+*.fls
+*.fdb_latexmk
+*.out
+*.synctex

papers/application-2024/egbib.bib

@@ -0,0 +1,111 @@
+@String(PAMI = {IEEE Trans. Pattern Anal. Mach. Intell.})
+@String(IJCV = {Int. J. Comput. Vis.})
+@String(CVPR= {IEEE Conf. Comput. Vis. Pattern Recog.})
+@String(ICCV= {Int. Conf. Comput. Vis.})
+@String(ECCV= {Eur. Conf. Comput. Vis.})
+@String(NIPS= {Adv. Neural Inform. Process. Syst.})
+@String(ICPR = {Int. Conf. Pattern Recog.})
+@String(BMVC= {Brit. Mach. Vis. Conf.})
+@String(TOG= {ACM Trans. Graph.})
+@String(TIP  = {IEEE Trans. Image Process.})
+@String(TVCG  = {IEEE Trans. Vis. Comput. Graph.})
+@String(TMM  = {IEEE Trans. Multimedia})
+@String(ACMMM= {ACM Int. Conf. Multimedia})
+@String(ICME = {Int. Conf. Multimedia and Expo})
+@String(ICASSP=	{ICASSP})
+@String(ICIP = {IEEE Int. Conf. Image Process.})
+@String(ACCV  = {ACCV})
+@String(ICLR = {Int. Conf. Learn. Represent.})
+@String(IJCAI = {IJCAI})
+@String(PR   = {Pattern Recognition})
+@String(AAAI = {AAAI})
+@String(CVPRW= {IEEE Conf. Comput. Vis. Pattern Recog. Worksh.})
+@String(CSVT = {IEEE Trans. Circuit Syst. Video Technol.})
+
+@String(SPL	= {IEEE Sign. Process. Letters})
+@String(VR   = {Vis. Res.})
+@String(JOV	 = {J. Vis.})
+@String(TVC  = {The Vis. Comput.})
+@String(JCST  = {J. Comput. Sci. Tech.})
+@String(CGF  = {Comput. Graph. Forum})
+@String(CVM = {Computational Visual Media})
+
+
+@String(PAMI  = {IEEE TPAMI})
+@String(IJCV  = {IJCV})
+@String(CVPR  = {CVPR})
+@String(ICCV  = {ICCV})
+@String(ECCV  = {ECCV})
+@String(NIPS  = {NeurIPS})
+@String(ICPR  = {ICPR})
+@String(BMVC  =	{BMVC})
+@String(TOG   = {ACM TOG})
+@String(TIP   = {IEEE TIP})
+@String(TVCG  = {IEEE TVCG})
+@String(TCSVT = {IEEE TCSVT})
+@String(TMM   =	{IEEE TMM})
+@String(ACMMM = {ACM MM})
+@String(ICME  =	{ICME})
+@String(ICASSP=	{ICASSP})
+@String(ICIP  = {ICIP})
+@String(ACCV  = {ACCV})
+@String(ICLR  = {ICLR})
+@String(IJCAI = {IJCAI})
+@String(PR = {PR})
+@String(AAAI = {AAAI})
+@String(CVPRW= {CVPRW})
+@String(CSVT = {IEEE TCSVT})
+
+
+
+@misc{Authors14,
+ author = {FirstName LastName},
+ title = {The frobnicatable foo filter},
+ note = {Face and Gesture submission ID 324. Supplied as supplemental material {\tt fg324.pdf}},
+ year = 2014
+}
+
+@misc{Authors14b,
+ author = {FirstName LastName},
+ title = {Frobnication tutorial},
+ note = {Supplied as supplemental material {\tt tr.pdf}},
+ year = 2014
+}
+
+@article{Alpher02,
+author = {FirstName Alpher},
+title = {Frobnication},
+journal = PAMI,
+volume = 12,
+number = 1,
+pages = {234--778},
+year = 2002
+}
+
+@article{Alpher03,
+author = {FirstName Alpher and  FirstName Fotheringham-Smythe},
+title = {Frobnication revisited},
+journal = {Journal of Foo},
+volume = 13,
+number = 1,
+pages = {234--778},
+year = 2003
+}
+
+@article{Alpher04,
+author = {FirstName Alpher and FirstName Fotheringham-Smythe and FirstName Gamow},
+title = {Can a machine frobnicate?},
+journal = {Journal of Foo},
+volume = 14,
+number = 1,
+pages = {234--778},
+year = 2004
+}
+
+@inproceedings{Alpher05,
+author = {FirstName Alpher and FirstName Gamow},
+title = {Can a computer frobnicate?},
+booktitle = CVPR,
+pages = {234--778},
+year = 2005
+}