The Visual Analysis of Human Movement: A Survey

Gavrila, Dariu M.

doi:10.1006/cviu.1998.0716

Cited by 1,455 publications

(572 citation statements)

References 80 publications

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“…This feature combines the flow information and the appearance information together, so it can detect the moving and standing human from the video efficiently. Some old methods can be seen in Gavrila's survey [30].…”

Section: Related Workmentioning

confidence: 99%

Accurate Human Detection by Appearance and Motion

Tang

Goto

2010

IEICE Trans. Inf. & Syst.

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SUMMARYIn this paper, a human detection method is developed. An appearance based detector and a motion based detector are proposed respectively. A multi scale block histogram of template feature (MB-HOT) is used to detect human by the appearance. It integrates the gray value information and the gradient value information, and represents the relationship of three blocks. Experiment on INRIA dataset shows that this feature is more discriminative than other features, such as histogram of orientation gradient (HOG). A motion based feature is also proposed to capture the relative motion of human body. This feature is calculated in optical flow domain and experimental result in our dataset shows that this feature outperforms other motion based features. The detection responses obtained by two features are combined to reduce the false detection. Graphic process unit (GPU) based implementation is proposed to accelerate the calculation of two features, and make it suitable for real time applications. key words: human detection, multi scale block histogram of template, Graphics process unit

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Section: Related Workmentioning

confidence: 99%

Accurate Human Detection by Appearance and Motion

Tang

Goto

2010

IEICE Trans. Inf. & Syst.

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“…That requires a model of the body, whether a 3D model or a 2D view-based model. We refer the reader to excellent surveys covering this topic, such as [2,6,11]. However, for the task of activity recognition, tracking the limbs is not necessary.…”

Section: Related Workmentioning

confidence: 99%

Spatiotemporal pyramid representation for recognition of facial expressions and hand gestures

Zhao

Elgammal

2008

2008 8th IEEE International Conference on Automatic Face &Amp; Gesture Recognition

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“…or the subject(s) (known initial position, tight clothing etc.). For a comprehensive review of different methods, the reader is referred to [7] and earlier surveys [8,9,10].…”

Section: Introductionmentioning

confidence: 99%

A monocular system for person tracking: Implementation and testing

Stamou

Krinidis

Nikolaidis

et al. 2007

J Multimodal User Interfaces

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This paper presents a complete functional system capable of detecting people and tracking their motion in either live camera feed or pre-recorded video sequences. The system consists of two main modules, namely the detection and tracking modules. Automatic detection aims at locating human faces and is based on fusion of color and feature-based information. Thus, it is capable of handling faces in different orientations and poses (frontal, profile, intermediate). To avoid false detections, a number of decision criteria are employed. Tracking is performed using a variant of the well-known Kanade-Lucas-Tomasi tracker, while occlusion is handled through a re-detection stage. Manual intervention is allowed to assist both modules if required. In manual mode, the system can track any object of interest, so long as there are enough features to track. The system caters for calibrated cameras and can provide 3-D coordinates of any tracked object(s) of interest. It has been tested with very good results on a variety of video sequences, including a database of studio video sequences, for which 3-D ground truth data, originating from a 4-camera infrared tracking system, exist.

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The Visual Analysis of Human Movement: A Survey

Cited by 1,455 publications

References 80 publications

Accurate Human Detection by Appearance and Motion

Accurate Human Detection by Appearance and Motion

Spatiotemporal pyramid representation for recognition of facial expressions and hand gestures

A monocular system for person tracking: Implementation and testing

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