Video-based human behavior understanding: A survey
PVK Borges, N Conci… - IEEE transactions on …, 2013 - ieeexplore.ieee.org
Understanding human behaviors is a challenging problem in computer vision that has
recently seen important advances. Human behavior understanding combines image and …
recently seen important advances. Human behavior understanding combines image and …
[PDF][PDF] Labeling of human motion based on CBGA and probabilistic model
F Hu, H San Wong - International Journal on Smart Sensing and …, 2013 - sciendo.com
In this paper, we present a novel method for the labeling of human motion which uses
Constraint-Based Genetic Algorithm (CBGA) to optimize the probabilistic model of body …
Constraint-Based Genetic Algorithm (CBGA) to optimize the probabilistic model of body …
Spatio-temporal clustering of probabilistic region trajectories
We propose a novel model for the spatio-temporal clustering of trajectories based on motion,
which applies to challenging street-view video sequences of pedestrians captured by a …
which applies to challenging street-view video sequences of pedestrians captured by a …
Co-occurrence flow for pedestrian detection
The last few years have seen considerable progress in pedestrian detection. Recent work
has established a combination of oriented gradients and optic flow as effective features …
has established a combination of oriented gradients and optic flow as effective features …
Power packet transferability via symbol propagation matrix
S Nawata, A Maki, T Hikihara - Proceedings of the …, 2018 - royalsocietypublishing.org
A power packet is a unit of electric power composed of a power pulse and an information
tag. In Shannon's information theory, messages are represented by symbol sequences in a …
tag. In Shannon's information theory, messages are represented by symbol sequences in a …
Monitoring of video images
The present invention relates to video analysis and more speci? cally to the identi? cation of
moving features in a video. The motion of moving features in a video can be repre sented by …
moving features in a video. The motion of moving features in a video can be repre sented by …
Highly accurate estimation of pedestrian speed profiles from video sequences
P Sourtzinos, D Makris, P Remagnino - Innovations in Defence Support …, 2011 - Springer
This paper presents a system that estimates accurately the speed of individual pedestrians
with constant walking speed from monocular image sequences with people captured from …
with constant walking speed from monocular image sequences with people captured from …
Method of recognizing a moving feature in a video sequence
US9014422B2 - Method of recognizing a moving feature in a video sequence - Google Patents
US9014422B2 - Method of recognizing a moving feature in a video sequence - Google Patents …
US9014422B2 - Method of recognizing a moving feature in a video sequence - Google Patents …
Video motion: finding complete motion paths for every visible point
SM Ricco - 2013 - search.proquest.com
The problem of understanding motion in video has been an area of intense research in
computer vision for decades. The traditional approach is to represent motion using optical …
computer vision for decades. The traditional approach is to represent motion using optical …
Detecting bipedal motion from correlated probabilistic trajectories
This paper is about detecting bipedal motion in video sequences by using point trajectories
in a framework of classification. Given a number of point trajectories, we find a subset of …
in a framework of classification. Given a number of point trajectories, we find a subset of …