ندیم صادق کا پہلا شعری مجموعہ
میں ندیم صادق صاحب سے حال ہی میں متعارف ہوا ہوں۔مجھے ان کے پہلے مجموعہ کلام کا مسودہ دیکھنے کا موقع ملا ہے۔ یہ میرے لیے ایک بہت خوش گوارتجربہ تھا۔ میرے لیے دل چسپی کی خاص بات یہ ہے کہ حصہ غزل کی تمام غزلیںناصر کاظمی کی’’ پہلی بارش‘‘کی طرح ایک ہی زمین میں ہیں۔ ان کی بحر بھی وہی ہے اور قافیہ بھی، ردیف البتہ مختلف ہے۔ شاعر نے کئی اشعار میں بھی ناصر سے اپنے لگائو کا اظہار کیا ہے۔ یہ کلاسیکی روایت سے متاثر اور وابستہ شاعر کا کلام ہے۔ کتاب کا عنوان میر کے شعر سے اخذ کیا گیا ہے اور انتساب ناصر کاظمی کے نام ہے۔
ایک ہی زمین میں اتنی غزلیں کہہ لیناکوئی آسان کام نہیں۔شاعر اس کے لیے خصوصی داد کا مستحق ہے۔ پہلی غزل حمدیہ ہے اس کے بعد اکیس غزلیں دو انسانوں کے ملنے بچھڑنے اور ان کے تعلق کے مختلف پہلوئوں کا بیان ہیں۔ چند اشعار دیکھیے:
یاد کے بوٹے سوکھ نہ جائیں
دل دریا پانی دیتا ہے
وہ تجھ کو کیوں یاد کرے گا
صادق وہ مصروف بڑا ہے
ساری گلیاں گھوم چکا ہوں
تیری گلی سے ڈر لگتا ہے
شہر کی سڑکیں تو ٹھنڈی ہیں
لیکن میرا دل جلتا ہے
دل میں کیسا خوف بھرا ہے
پھول کھلے تو ڈر لگتا ہے
اب دل تنہا خوش رہتا ہے
میں نے خود کو بدل لیا ہے
صادق فون نہ کر تُو اس کو
وہ تجھ سے بیزار ہوا ہے
میں ندیم صادق کو اس مجموعے کی اشاعت پرتہ دل سے مبارک باد دیتا ہوں اس دعا کے ساتھ یہ قارئین میںپذیرائی حاصل کرے۔
باصر سلطان کاظمی
The unique feature of Islam is its comprehensive code of life. This proves its indispensability and worth as the universal order which accommodates complex issues of human life without compromising on its fundamentals. Hence, it is a matchless way of life on this planet. Keeping in view the modern specification of the current age in respect of those countries which tend to modify their legislations and their political, economic and social institutions as per Islamic framework. In this regard, a part from the fundamental and core Islamic sources of jurisprudence like the holy Quran, traditions of the holy Prophet (Hadith), consensus of Muslim scholars (Ijma) and Analogy (Qias), there are other sources like ‘Decorum’ (Istihsan) and ‘Arbitrariness’ (Masalih e Mursalah) to play their effective and significant jurisprudential role to address the numerous social issues by honoring the customs and norms already prevailing in any particular society. The article under discussion speaks of the distinct characteristic of Islam that it is a religion of nature and takes care of natural necessities of human life. Already prevailing customs and norms in human society are not subject to disregard or straight rejection. Islam puts a considerable endeavor not to confront the wisdom of the society by sweeping its norms and customs unnecessarily. Conditions imposed by Islam to formulate any society are specious enough which accommodate many of the customs and encompass overwhelming norms in it. But being the sincere guardian of the humanity, on the other hand, it does not miss its significant reformative role to play with reference to those customs and norms which appear contrary to its fundamentals
The availability of low-cost video cameras and digital media storage has invited huge investments in developing state-of-the-art algorithms that automatically evaluate and understand video datasets. One such class of algorithm is object tracking which analyzes the data and automatically determines the location of the object in a video sequence. As these algorithms are a prelude to a higher level decision making algorithms, therefore estimation of the trajectory of the object must be accurate and robust under many challenging constraints. A very popular class of object tracking algorithm is the hybrid object tracking category based on integrating Meanshift (MS) and Particle Filter (PF) (MSPF). The purpose of this integration was to overcome the limitation of the PF methods that required a large number of samples/particles PF method to approximate the object state. Consequently, this integration uses the MS optimization procedure to move fewer particles, in the direction of gradient ascent, which represents the dynamics of the target more accurately. The existing methods employ a pre-determined combination of features, inherently assuming that the background would not change. However in uncontrolled environment, it is difficult to specify the background of the object in advance as it moves around the field of view of the camera and thereof this assumption may not often hold. Moreover, hybrid tracking systems based on the MSPF methodology are very compute intensive and it is desirable to reduce this complexity. In the first part of this research, the dissertation aims to investigate an adaptive multi-feature framework that is implemented on top of the MSPF methodology that tracks the object in the local perspective. Essentially that takes care of the dynamic and changing characteristic of the background, which is one of the most important challenges in the object tracking domain. In this research work, an Adaptive Multi-Feature framework is proposed and implemented on top of the MSPF methodology (AMF-MSPF). An adaptive ranking module is proposed that is triggered after a certain criteria is violated, in which case a new set of features are selected for tracking the object. The top ranked features are selected to represent the object, which gives the tracker the ability to adapt to locate the object with an upgraded set of feature. Consequently, this improved local discrimination of the target from its immediate neighboring pixels. In most applications a small portion of computational resources are dedicated to trackers and rest is reserved for higher level decision making tasks, which mandate trackers to be efficient and less complex. Thereby, the second part of the dissertation looks into the complexity of the MSPF methodology. As the MSPF methodology is already a computationally intensive processing task, implementing a feature ranking module on top of it might complicate matters. The feature ranking module also requires a significant portion of the power, thereby a novel MS technique is proposed to free some resources for the ranking module. This novelty comes from an observation that only a fraction of random samples were required by the MS optimization to approximate the similarity metric without inducing significant error. This computational reduction would be advantageous given the complex integration of the MS and PF, because the MS procedure is directly proportional to the number of particles that would take many MS iterations to converge. The proposed novelty in the MS method has reduced its complexity that has greatly impacting the overall complexity of the proposed AMF-MSPF. The proposed AMF-MSPF framework is tested on sequences from the CAVIAR datasets such as Browse and Walkbyshop1and an s8 sequence was taken from the PET dataset. These datasets are known for a number of challenging constraints such as abrupt intensity variations, full occlusions, cluttered background etc. Qualitative results have shown robust and accurate tracking under stringent constraints. In the quantitative analysis, a comparison with the existing methods has been carried out. The proposed framework has shown significant improvements in terms of root mean square error (RMSE), false alarm rate (FAR), and F-SCORE. The average RMSE, FAR, and F_SCORE, over all the video sets, of the proposed AMF-MSPF are 8.68, 0.15, and 0.92, which has improved manifold as compared to the chosen reference methods. Experimental results have proved the effectiveness of the proposed framework.