Detecting unattended packages through human activity recognition and object association

Author:

Lu Sijun,Zhang Jian,Dagan Feng David

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Signal Processing,Software

Reference18 articles.

1. M. Spengle, B. Schile, Automatic detection and tracking of unattended objects, in: Joint IEEE International Workshop on Visual Surveillance and Performance Evaluation of Tracking and Surveillance (VS-PETS’03), Nice, France, 2003.

2. A distributed surveillance system for detection of unattended objects in unmanned railway environments;Sacchi;IEEE Trans. Veh. Technol.,2000

3. Y. Tian, M. Lu, A. Hampapur, Robust and efficient foreground analysis for real-time video surveillance, in: IEEE International Conference on Computer Vision and Pattern Recognition, San Diego, 2005.

4. M. Beynon, D. Hook, M. Seibert, A. Peacock, Detecting unattended packages in a multi-camera video surveillance system, in: Proceedings of IEEEE Conference on Advanced Video and Signal Based Surveillance (AVSS’03), 2003, pp. 221–228.

5. S. Lu, J. Zhang, D. Feng, Classification of moving humans using eigen-features and support vector machines, in: International Conference on Computer Analysis of Images and Patterns (CAIP2005), France, September 2005.

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1. Advanced Driver Assistance Systems and Autonomous Driving;Guide to Automotive Connectivity and Cybersecurity;2019

2. Abandoned or removed object detection from visual surveillance: a review;Multimedia Tools and Applications;2018-08-14

3. Detecting abandoned objects using interacting multiple models;SPIE Proceedings;2015-10-21

4. Extraction of stable foreground image regions for unattended luggage detection;Multimedia Tools and Applications;2014-10-30

5. Left-Luggage Detection from Finite-State-Machine Analysis in Static-Camera Videos;2014 22nd International Conference on Pattern Recognition;2014-08

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