Update README.md

README.md

@@ -4,3 +4,20 @@ license: cc-by-4.0
 
 TACDEC is a dataset of tackle events in soccer game videos. Recognizing the gap in existing open datasets that predominantly focus on official soccer events such as goals and cards, TACDEC targets a comprehensive analysis of tackles — a critical aspect of soccer that combines technical skills, tactical decision-making, and physical engagement. By leveraging video data from the Norwegian Eliteserien league across multiple seasons, we annotated 425 videos with 4 types of tackle events, categorized into "tackle-live", "tackle-replay", "tackle-live-incomplete", and "tackle-replay-incomplete", yielding a total of 836 event annotations. The dataset offers an unprecedented resource for the development and testing of machine learning models aimed at understanding and analyzing soccer game dynamics.
 
+
+**Citation:**
+<pre><code>
+@incollection{Kassab_MMSYS_ODS,
+  author = {Jåsund Kassab, Evan and Maric Solberg, Håkon and Gautam, Sushant and Shafiee Sabet, Saeed and Torjusen, Thomas and Riegler, Michael and Halvorsen, Pål and Midoglu, Cise},
+  title = {{TACDEC: Dataset of Tackle Events in Soccer Game Videos}},
+  booktitle = {{MMSys'24 : The 15th ACM Multimedia Systems Conference}},
+  year = {2024},
+  month = apr,
+  date = {2024-04-15},
+  urldate = {2024-04-15},
+  isbn = {979-8-4007-0412-3/24/04},
+  publisher = {Association for Computing Machinery},
+  address = {New York, NY, USA},
+  doi = {10.1145/3625468.3652166}
+}
+</code></pre>