Simultaneous Object Detection, Tracking, and Event Recognition

04/12/2012
by   Andrei Barbu, et al.
0

The common internal structure and algorithmic organization of object detection, detection-based tracking, and event recognition facilitates a general approach to integrating these three components. This supports multidirectional information flow between these components allowing object detection to influence tracking and event recognition and event recognition to influence tracking and object detection. The performance of the combination can exceed the performance of the components in isolation. This can be done with linear asymptotic complexity.

READ FULL TEXT

page 4

page 8

page 9

page 10

research
11/07/2018

DOD-CNN: Doubly-injecting Object Information for Event Recognition

Recognizing an event in an image can be enhanced by detecting relevant o...
research
06/22/2021

Hand-Drawn Electrical Circuit Recognition using Object Detection and Node Recognition

With the recent developments in neural networks, there has been a resurg...
research
03/21/2017

IOD-CNN: Integrating Object Detection Networks for Event Recognition

Many previous methods have showed the importance of considering semantic...
research
10/05/2022

Transferring dense object detection models to event-based data

Event-based image representations are fundamentally different to traditi...
research
11/27/2018

Integrated Object Detection and Tracking with Tracklet-Conditioned Detection

Accurate detection and tracking of objects is vital for effective video ...
research
02/11/2019

S-DOD-CNN: Doubly Injecting Spatially-Preserved Object Information for Event Recognition

We present a novel event recognition approach called Spatially-preserved...
research
06/10/2022

Object Detection, Recognition, Deep Learning, and the Universal Law of Generalization

Object detection and recognition are fundamental functions underlying th...

Please sign up or login with your details

Forgot password? Click here to reset