Influence of severe vibrations on the visual perception of video sequences

Adrian Stern

doi:10.1117/1.1367256

Influence of severe vibrations on the visual perception of video sequences

Optical Engineering ◽

10.1117/1.1367256 ◽

2001 ◽

Vol 40 (6) ◽

pp. 964 ◽

Cited By ~ 2

Author(s):

Adrian Stern

Keyword(s):

Visual Perception ◽

Video Sequences

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Influence of severe vibrations on the visual perception of video sequences

10.1117/12.409917 ◽

2000 ◽

Author(s):

Adrian Stern ◽

E. Fisher ◽

Stanley R. Rotman ◽

Norman S. Kopeika

Keyword(s):

Visual Perception ◽

Video Sequences

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A Fast Preprocessing Method for Micro-Expression Spotting via Perceptual Detection of Frozen Frames

Journal of Imaging ◽

10.3390/jimaging7040068 ◽

2021 ◽

Vol 7 (4) ◽

pp. 68

Author(s):

Vittoria Bruni ◽

Domenico Vitulano

Keyword(s):

Visual Perception ◽

Energy Model ◽

Video Sequences ◽

Facial Region ◽

Preliminary Results ◽

Motion Energy ◽

Preprocessing Method ◽

Preliminary Study ◽

Micro Expression

This paper presents a preliminary study concerning a fast preprocessing method for facial microexpression (ME) spotting in video sequences. The rationale is to detect frames containing frozen expressions as a quick warning for the presence of MEs. In fact, those frames can either precede or follow (or both) MEs according to ME type and the subject’s reaction. To that end, inspired by the Adelson–Bergen motion energy model and the instinctive nature of the preattentive vision, global visual perception-based features were employed for the detection of frozen frames. Preliminary results achieved on both controlled and uncontrolled videos confirmed that the proposed method is able to correctly detect frozen frames and those revealing the presence of nearby MEs—independently of ME kind and facial region. This property can then contribute to speeding up and simplifying the ME spotting process, especially during long video acquisitions.

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