Gender Classification Based on Binary Haar Cascade

Yıldırım, Mustafa Eren; Park, J. S.; Song, Jianxin; Yoon, BumChul

doi:10.7763/ijcce.2014.v3.301

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…To do this, PIANO automatically calculates the size of each section. [13] It relies on the same algorithm used from Haar Cascades [33], and like them, the classifier of this tracker is trained online during execution.…”

Section: Mapping Space To Soundmentioning

confidence: 99%

Enhancing spatial perception through sound: mapping human movements into MIDI

Breve

Cirillo

Cuofano

et al. 2021

Multimed Tools Appl

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Gestural expressiveness plays a fundamental role in the interaction with people, environments, animals, things, and so on. Thus, several emerging application domains would exploit the interpretation of movements to support their critical designing processes. To this end, new forms to express the people’s perceptions could help their interpretation, like in the case of music. In this paper, we investigate the user’s perception associated with the interpretation of sounds by highlighting how sounds can be exploited for helping users in adapting to a specific environment. We present a novel algorithm for mapping human movements into MIDI music. The algorithm has been implemented in a system that integrates a module for real-time tracking of movements through a sample based synthesizer using different types of filters to modulate frequencies. The system has been evaluated through a user study, in which several users have participated in a room experience, yielding significant results about their perceptions with respect to the environment they were immersed.

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Section: Mapping Space To Soundmentioning

confidence: 99%

Enhancing spatial perception through sound: mapping human movements into MIDI

Breve

Cirillo

Cuofano

et al. 2021

Multimed Tools Appl

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“…Two or three adjacent rectangular groups with different contrast values create Haar-like features [5]. The intensity values of white and black groups are separately calculated and subtracted from each other.…”

Section: Detection Based On Haar-like Featurementioning

confidence: 99%

Video Based Adult and Child Classification by Using Body Proportion

2015

2015 the 5th International Workshop on Computer Science and Engineering-Information Processing and Control Engineering

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Pedestrian detection in uncontrolled environments is a challenging task. There are various researches for video based pedestrian detection. Moreover, to recognize children and adults in digital platforms is helpful for future applications. For instance, if a Closed Circuit Television(CCTV) camera located on a traffic light detects child who is walking through pedestrian way, system could make some service adjustments. Aim of this article is to detect children and adults separately. We used Haar cascade classifiers for the implementation. We detected head and body of pedestrians. Then we used relative measurements because we cannot get exact height of people from pixels so we applied another method that is proportioning head size to body size of pedestrians. By this technique, we could discriminate children and adults. The results are promising and shows sufficient accuracy.

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“…The calculated distances and ratios are used to identify the images and classify them [2]. Mustafa et al [1] used a simple method by detecting a region of interest(ROI) by assigning positive to the facial images and negative to other areas in a still image. This way, it becomes a simple binary problem.…”

Section: Literature Survey a Binary Classification Using Haar Camentioning

confidence: 99%

Gender Classification from Facial Images - Performing the classification of Gender from the facial Images and implementing the same on the Real Time

Rastogi¹

2018

IJRASET

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Gender recognition is one of the aspects which is of massive interest for many industries, be it surveillance, biometrics or information gain. As a result of its immense importance, many techniques were proposed in the last years. Different methods have been accessible depending on the benchmark they set for further research in the same area. In this context, this paper gives an overview of the techniques, datasets, and classifiers required to reach the same goal.

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Gender Classification Based on Binary Haar Cascade

Cited by 5 publications

References 9 publications

Enhancing spatial perception through sound: mapping human movements into MIDI

Enhancing spatial perception through sound: mapping human movements into MIDI

Video Based Adult and Child Classification by Using Body Proportion

Gender Classification from Facial Images - Performing the classification of Gender from the facial Images and implementing the same on the Real Time

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