Modeling motion prediction techniques: Linear and quadratic splines vs circular-queue vector approach


Abstract:

The modeling and performance analysis of two novel approaches for motion prediction of objects in a limited sequence of images is presented in this paper. Particularly, these proposed approaches are based on linear or quadratic splines and on circular-queue vector correspondence. They use two basic motion detection techniques also proposed by authors that provide object tracing by its representation by envelope or by mass center grid. The performance and efficiency of the proposed motion prediction approaches are evaluated applying several simulated kinematics experiments either with constant velocity and accelerated motion, or with parabolic and circular motion. © 2010 IEEE.

Año de publicación:

2010

Keywords:

  • Motion pbkp_rediction
  • Circular-queue vector correspondence
  • Splines
  • IMAGE PROCESSING

Fuente:

scopusscopus
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Tipo de documento:

Conference Object

Estado:

Acceso restringido

Áreas de conocimiento:

  • Simulación por computadora
  • Simulación por computadora
  • Ciencias de la computación

Áreas temáticas de Dewey:

  • Ciencias de la computación
Procesado con IAProcesado con IA

Objetivos de Desarrollo Sostenible:

  • ODS 9: Industria, innovación e infraestructura
  • ODS 17: Alianzas para lograr los objetivos
  • ODS 4: Educación de calidad
Procesado con IAProcesado con IA