Uploaded bysajid rao
Body-Movement-Based Human Identification
The document presents a method for human identification based on body movements, particularly when facial recognition is not possible. It emphasizes using a thermal camera to capture and preprocess images for identifying individuals even if their faces are obscured. The methodology includes image processing techniques like noise filtering and morphological operations to accurately detect and recognize human movements.
Body-Movement-Based Human Identification
- 1. BODY-MOVEMENT-BASED HUMAN IDENTIFICATION PRESENTED BY: SHAHBAZ IRFAN SP16-BSCS-054 ZEESHAN HAIDER SP16-BSCS-086 SAJID ISLAM SP16-BSCS-052
- 2. INTRODUCTION: • Human identificationis an important and challenging research • Human identification is based on biometric identifiers • Physiological and behavioral characteristics are used. • Physiological characteristics represent the shape of human body e.g face, fingerprint, iris. • Behavioral characteristics e.g gait, voice, motion, and movements.
- 3. • These biometricsignatures can be measured at distances. • A fingerprint is measured by touching a sensor • Face and gait are measured at a distance by using a camera sensor. • Human identification needs to be completed at a distance without having the attention of subjects. • Face and gait recognitions are commonly used. • Gait based human identification methods can identify humans even if the individual’s face not clearly visible.
- 4. PROBLEM: • A personcan be identify by his face. • What if person’s face is not visible or covered. • This application will be able to recognize the person if the face is covered or not captured by a camera.
- 5. SCOPE: • Body movementbased human detection detects the person from image or video even if the face of a person is visible or not. • It detects the movements of person and recognize the person that, who is this?
- 6. SOLUTION: • We usethermal camera for taking images from a specific angle and then preprocess it by removing noise from it and then extract features from it and then ready to match patterns and recognizing.
- 7. TOOLS: • We willuse thermal camera for taking videos or images • We will use python with its different libraries i.e open cv • We will use raspberry pi for integration
- 8. TECHNIQUE: • As the1st step, by obtaining the difference image between background and input images, the rough area of human body can be extracted. • Then, the accurate area of human body can be obtained by noise filtering based on median filter, morphological operation, and component labeling (considering the size and the ratio of height to width of the area) as the preprocessing of the 2nd step.
- 10. METHODOLOGY: • The flowchart summarizes our human detection algorithm. The man walking in the corridor is detected from the thermal image after background subtraction and preprocessing such as morphological operation, noise filtering and labeling operation are performed. • The thermal camera enables our system to detect a human region from an image that is captured in various environments including severe shadow, illumination variations, and darkness. . • Additionally, in the case where a human is walking close to the camera, the human is not fully visible to the camera.
- 13.
- 14.