TY - CONF
T1 - Navigational strategies and surveillance
AU - Hogg, David C.
AU - Dee, Hannah
N1 - Dee, H. M.; Hogg, D. C. Navigational strategies and surveillance in: Proceedings of the IEEE International Workshop on Visual Surveillance (ECCV-VS), pp. 73-81 IEEE Computer Society Press, Graz, Austria, 2006.
PY - 2006
Y1 - 2006
N2 - This paper will describe new work that attempts to perform
the modelling of human behaviour not at the level of visible
patterns of motion, but at the level of intentions. By inferring
intentions in terms of known goals, it becomes possible
to explain the behaviour of people moving around within
the field of view of a video camera (e.g. ”Agent 25 went to
exit 8 via sub-goals 34 and 21”). Earlier work used an adhoc
model of human navigation and recalculated possible
intentions at each frame, whereas the work presented here
incorporates models of navigation from within psychology
which are both simpler and more conceptually plausible,
whilst providing comparable results. The basic algorithm
involves generating all possible plausible paths through the
scene to known goal sites, and then measuring the distance
between each path and the agent’s actual trajectory. Two
navigational strategies are discussed, and a number of distance
measures are proposed and evaluated. A prototype
system has been tested on video from an outdoor car-park
and an indoor foyer scene, and it has been found to produce
psychologically plausible explanations in the majority
of cases.
AB - This paper will describe new work that attempts to perform
the modelling of human behaviour not at the level of visible
patterns of motion, but at the level of intentions. By inferring
intentions in terms of known goals, it becomes possible
to explain the behaviour of people moving around within
the field of view of a video camera (e.g. ”Agent 25 went to
exit 8 via sub-goals 34 and 21”). Earlier work used an adhoc
model of human navigation and recalculated possible
intentions at each frame, whereas the work presented here
incorporates models of navigation from within psychology
which are both simpler and more conceptually plausible,
whilst providing comparable results. The basic algorithm
involves generating all possible plausible paths through the
scene to known goal sites, and then measuring the distance
between each path and the agent’s actual trajectory. Two
navigational strategies are discussed, and a number of distance
measures are proposed and evaluated. A prototype
system has been tested on video from an outdoor car-park
and an indoor foyer scene, and it has been found to produce
psychologically plausible explanations in the majority
of cases.
M3 - Paper
SP - 73
EP - 81
ER -