Autonomous vehicles (AVs) must share space with pedestrians, both in carriageway cases such as cars at pedestrian crossings and off-carriageway cases such as delivery vehicles …
AD Jepson, DJ Fleet… - IEEE transactions on …, 2003 - ieeexplore.ieee.org
We propose a framework for learning robust, adaptive, appearance models to be used for motion-based tracking of natural objects. The model adapts to slowly changing appearance …
A sentient system combines detection, tracking, and immersive visualization of a cluttered and crowded environment, such as an office building, terminal, or other enclosed site using …
J Candamo, M Shreve, DB Goldgof… - IEEE transactions on …, 2009 - ieeexplore.ieee.org
Visual surveillance is an active research topic in image processing. Transit systems are actively seeking new or improved ways to use technology to deter and respond to accidents …
Background subtraction algorithms define the background as parts of a scene that are at rest. Traditionally, these algorithms assume a stationary camera, and identify moving objects …
T Zhao, R Nevatia, B Wu - IEEE transactions on pattern …, 2008 - ieeexplore.ieee.org
Segmentation and tracking of multiple humans in crowded situations is made difficult by interobject occlusion. We propose a model-based approach to interpret the image …
T Zhao, R Nevatia - IEEE transactions on pattern analysis and …, 2004 - ieeexplore.ieee.org
Tracking multiple humans in complex situations is challenging. The difficulties are tackled with appropriate knowledge in the form of various models in our approach. Human motion is …
C Yang, R Duraiswami, L Davis - Tenth IEEE International …, 2005 - ieeexplore.ieee.org
A very efficient and robust visual object tracking algorithm based on the particle filter is presented. The method characterizes the tracked objects using color and edge orientation …