The Complexity of Object Association in Multiple Object Tracking

Authors: Robert Ganian, Thekla Hamm, Sebastian Ordyniak1388-1396

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Reproducibility Variable Result LLM Response
Research Type Theoretical Here, we carry out a detailed complexity-theoretic study of the problems arising from these two models that is aimed at complementing previous empirical work on object association. Unlike in previous works, here we initiate a deeper study of LIFTED MULTICUT and LIFTED PATHS from a complexity-theoretic point of view.
Researcher Affiliation Academia 1Algorithms and Complexity Group, TU Wien, Vienna, Austria 2University of Leeds, School of Computing, Leeds, UK
Pseudocode No The paper describes algorithmic approaches in prose, such as dynamic programming and color coding, but it does not contain structured pseudocode or clearly labeled algorithm blocks.
Open Source Code No The paper does not provide any concrete access to source code for the theoretical analysis or algorithms described; it is a complexity-theoretic study and does not present an implementation.
Open Datasets No The paper is a theoretical study on computational complexity and does not involve experimental evaluation using datasets, thus no dataset access information is provided.
Dataset Splits No The paper is a theoretical study and does not involve experimental validation or dataset splitting for training, validation, or testing.
Hardware Specification No The paper is a theoretical study on computational complexity and does not involve practical experiments requiring specific hardware; thus, no hardware specifications are mentioned.
Software Dependencies No The paper is a theoretical study and does not implement or rely on specific software components or libraries with version numbers; thus, no software dependencies are listed.
Experiment Setup No The paper is a theoretical study focusing on complexity analysis and does not describe any experimental setup details such as hyperparameter values or training configurations.