TY - CHAP
T1 - Modelling Motion Patterns with Circular-Linear Flow Field Maps
AU - Kucner, Tomasz Piotr
AU - Lilienthal, Achim J.
AU - Magnusson, Martin
AU - Palmieri, Luigi
AU - Srinivas Swaminathan, Chittaranjan
N1 - Publisher Copyright:
© 2020, Springer Nature Switzerland AG.
PY - 2020
Y1 - 2020
N2 - The shared feature of the flow of discrete objects and continuous media is that they both can be represented as velocity vectors encapsulating direction and speed of motion. In this chapter, we present a method for modelling the flow of discrete objects and continuous media as continuous Gaussian mixture fields. The proposed model associates to each part of the environment a Gaussian mixture model describing the local motion patterns. We also present a learning method, designed to build the model from a set of sparse, noisy and incomplete observations.
AB - The shared feature of the flow of discrete objects and continuous media is that they both can be represented as velocity vectors encapsulating direction and speed of motion. In this chapter, we present a method for modelling the flow of discrete objects and continuous media as continuous Gaussian mixture fields. The proposed model associates to each part of the environment a Gaussian mixture model describing the local motion patterns. We also present a learning method, designed to build the model from a set of sparse, noisy and incomplete observations.
UR - http://www.scopus.com/inward/record.url?scp=85084011370&partnerID=8YFLogxK
U2 - 10.1007/978-3-030-41808-3_4
DO - 10.1007/978-3-030-41808-3_4
M3 - Chapter
AN - SCOPUS:85084011370
T3 - Cognitive Systems Monographs
SP - 65
EP - 113
BT - Cognitive Systems Monographs
PB - Springer
ER -