Update publications.bib (#80)

_bibliography/publications.bib

@@ -1,3 +1,30 @@
+@MastersThesis{Crutchfield2023,
+  author   = {Christopher L. Crutchfield},
+  school   = {University of California San Diego},
+  title    = {{S}pot, an {A}lgorithm for {L}ow-{R}esolution, {L}ow-{C}ontrast, {M}oving {O}bject-{T}racking with a {N}on-{S}tationary {C}amera},
+  year     = {2023},
+  month    = jun,
+  abstract = {The ability to track moving objects in a video stream is helpful for many applications,
+from pedestrian and vehicle tracking in a city to animal tracking for ecology and conservation.
+This write-up introduces Spot, an algorithm for moving object tracking in low-resolution, low-
+contrast videos. This write-up will discuss two motivating examples to guide the development of
+Spot-satellite-based surveillance of vehicles in cityscapes and animal tracking using drones for
+ecological purposes.
+Spot uses image processing techniques to generate a pipeline to track moving objects
+frame-to-frame. It then leverages Bayesian Filtering techniques to use the frame-to-frame motion to track individual identity between consecutive frames.
+Each stage of Spot’s pipeline–both image processing and the Bayesian Filtering portions
+of the pipeline–introduces many parameters. To determine which parameters are ideal for a
+particular dataset, a design space exploration tool, dubbed Sherlock, is used to choose the optimal
+parameters. As part of this, we evaluate multiple possible objective functions and demonstrate
+the importance of selecting an appropriate one.
+Spot is competitive with other modern, moving object-tracking algorithms on cityscape
+data, outperforming others in some of the metrics presented. For tracking animals from drone
+footage, Spot demonstrated an ability to track wildlife at a similar rate to its performance in
+some cityscape videos.},
+  file     = {:Crutchfield2023 - Spot, an Algorithm for Low Resolution, Low Contrast, Moving Object Tracking with a Non Stationary Camera.pdf:PDF},
+  url      = {https://escholarship.org/uc/item/14j7c3qc},
+}
+
 @Article{bresnehan_cyronak_brewin_etal_csr_2022,
   author   = {Philip Bresnahan and Tyler Cyronak and Robert J.W. Brewin and Andreas Andersson and Taylor Wirth and Todd Martz and Travis Courtney and Nathan Hui and Ryan Kastner and Andrew Stern and Todd McGrain and Danica Reinicke and Jon Richard and Katherine Hammond and Shannon Waters},
   journal  = {Continental Shelf Research},
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-@Comment{jabref-meta: saveOrderConfig:specified;year;true;author;false;title;true;}
+@Comment{jabref-meta: saveOrderConfig:specified;year;true;author;false;title;true;}