Fehr et al., 2009 - Google Patents
Counting people in groupsFehr et al., 2009
- Document ID
- 12376901381247770966
- Author
- Fehr D
- Sivalingam R
- Morellas V
- Papanikolopoulos N
- Lotfallah O
- Park Y
- Publication year
- Publication venue
- 2009 Sixth IEEE International Conference on Advanced Video and Signal Based Surveillance
External Links
Snippet
Cameras are becoming a common tool for automated vision purposes due to their low cost. In an era of growing security concerns, camera surveillance systems have become not only important but also necessary. Algorithms for several tasks such as detecting abandoned …
- 206010053648 Vascular occlusion 0 abstract description 6
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00624—Recognising scenes, i.e. recognition of a whole field of perception; recognising scene-specific objects
- G06K9/00771—Recognising scenes under surveillance, e.g. with Markovian modelling of scene activity
- G06K9/00778—Recognition or static of dynamic crowd images, e.g. recognition of crowd congestion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/20—Analysis of motion
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/10—Image acquisition modality
- G06T2207/10016—Video; Image sequence
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T2207/00—Indexing scheme for image analysis or image enhancement
- G06T2207/30—Subject of image; Context of image processing
- G06T2207/30196—Human being; Person
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/00221—Acquiring or recognising human faces, facial parts, facial sketches, facial expressions
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06K—RECOGNITION OF DATA; PRESENTATION OF DATA; RECORD CARRIERS; HANDLING RECORD CARRIERS
- G06K9/00—Methods or arrangements for reading or recognising printed or written characters or for recognising patterns, e.g. fingerprints
- G06K9/36—Image preprocessing, i.e. processing the image information without deciding about the identity of the image
- G06K9/46—Extraction of features or characteristics of the image
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Ge et al. | Vision-based analysis of small groups in pedestrian crowds | |
Saxena et al. | Crowd behavior recognition for video surveillance | |
US7139409B2 (en) | Real-time crowd density estimation from video | |
US20080123900A1 (en) | Seamless tracking framework using hierarchical tracklet association | |
Fusier et al. | Video understanding for complex activity recognition | |
US10110801B2 (en) | Methods and systems for controlling a camera to perform a task | |
Rout | A survey on object detection and tracking algorithms | |
Idrees et al. | Tracking in dense crowds using prominence and neighborhood motion concurrence | |
US11475671B2 (en) | Multiple robots assisted surveillance system | |
Bloisi et al. | Argos—A video surveillance system for boat traffic monitoring in Venice | |
Fehr et al. | Counting people in groups | |
Prokaj et al. | Tracking many vehicles in wide area aerial surveillance | |
Tomar et al. | Crowd analysis in video surveillance: A review | |
Javed et al. | Automated multi-camera surveillance: algorithms and practice | |
Kumar et al. | Real time target tracking with pan tilt zoom camera | |
Aguilar-Ponce et al. | A network of sensor-based framework for automated visual surveillance | |
US20220138475A1 (en) | Methods and systems for crowd motion summarization via tracklet based human localization | |
Roy et al. | A comprehensive survey on computer vision based approaches for moving object detection | |
Liu et al. | Multi-view vehicle detection and tracking in crossroads | |
US11209796B2 (en) | Surveillance system with intelligent robotic surveillance device | |
Wang et al. | Distributed wide-area multi-object tracking with non-overlapping camera views | |
Wang et al. | Tracking objects through occlusions using improved Kalman filter | |
Prezioso et al. | Integrating Object Detection and Advanced Analytics for Smart City Crowd Management | |
Shyaa et al. | Enhancing real human detection and people counting using YOLOv8 | |
Park et al. | Multi-perspective video analysis of persons and vehicles for enhanced situational awareness |