A Trainable System for Object Detection in Images and Video Sequences

A Trainable System for Object Detection in Images and Video Sequences

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This thesis presents a general, trainable system for object detection in static images and video sequences. The core system finds a certain class of objects in static images of completely unconstrained, cluttered scenes without using motion, tracking, or handcrafted models and without making a...

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Bibliographic Details
Main Author: Papageorgiou, Constantine P.
Language:en_US
Published: 2004
Subjects:
AI
MIT
Artificial Intelligence
object detection
pattern recognition
people detection
face detection
car detection
Online Access:http://hdl.handle.net/1721.1/5566
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